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Jena SG, Verma A, Engelhardt BE. Answering open questions in biology using spatial genomics and structured methods. BMC Bioinformatics 2024; 25:291. [PMID: 39232666 PMCID: PMC11375982 DOI: 10.1186/s12859-024-05912-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 08/22/2024] [Indexed: 09/06/2024] Open
Abstract
Genomics methods have uncovered patterns in a range of biological systems, but obscure important aspects of cell behavior: the shapes, relative locations, movement, and interactions of cells in space. Spatial technologies that collect genomic or epigenomic data while preserving spatial information have begun to overcome these limitations. These new data promise a deeper understanding of the factors that affect cellular behavior, and in particular the ability to directly test existing theories about cell state and variation in the context of morphology, location, motility, and signaling that could not be tested before. Rapid advancements in resolution, ease-of-use, and scale of spatial genomics technologies to address these questions also require an updated toolkit of statistical methods with which to interrogate these data. We present a framework to respond to this new avenue of research: four open biological questions that can now be answered using spatial genomics data paired with methods for analysis. We outline spatial data modalities for each open question that may yield specific insights, discuss how conflicting theories may be tested by comparing the data to conceptual models of biological behavior, and highlight statistical and machine learning-based tools that may prove particularly helpful to recover biological understanding.
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Affiliation(s)
- Siddhartha G Jena
- Department of Stem Cell and Regenerative Biology, Harvard, 7 Divinity Ave, Cambridge, MA, USA
| | - Archit Verma
- Gladstone Institutes, 1650 Owens Street, San Francisco, CA, 94158, USA
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2
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Lenz G. Heterogeneity generating capacity in tumorigenesis and cancer therapeutics. Biochim Biophys Acta Mol Basis Dis 2024; 1870:167226. [PMID: 38734320 DOI: 10.1016/j.bbadis.2024.167226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Revised: 04/26/2024] [Accepted: 05/06/2024] [Indexed: 05/13/2024]
Abstract
Cells of multicellular organisms generate heterogeneity in a controlled and transient fashion during embryogenesis, which can be reactivated in pathologies such as cancer. Although genomic heterogeneity is an important part of tumorigenesis, continuous generation of phenotypic heterogeneity is central for the adaptation of cancer cells to the challenges of tumorigenesis and response to therapy. Here I discuss the capacity of generating heterogeneity, hereafter called cell hetness, in cancer cells both as the activation of hetness oncogenes and inactivation of hetness tumor suppressor genes, which increase the generation of heterogeneity, ultimately producing an increase in adaptability and cell fitness. Transcriptomic high hetness states in therapy-tolerant cell states denote its importance in cancer resistance to therapy. The definition of the concept of hetness will allow the understanding of its origins, its control during embryogenesis, its loss of control in tumorigenesis and cancer therapeutics and its active targeting.
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Affiliation(s)
- Guido Lenz
- Departamento de Biofísica, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil; Centro de Biotecnologia, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil.
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3
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Eskandari E, Negri GL, Tan S, MacAldaz ME, Ding S, Long J, Nielsen K, Spencer SE, Morin GB, Eaves CJ. Dependence of human cell survival and proliferation on the CASP3 prodomain. Cell Death Discov 2024; 10:63. [PMID: 38321033 PMCID: PMC10847432 DOI: 10.1038/s41420-024-01826-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Revised: 01/11/2024] [Accepted: 01/17/2024] [Indexed: 02/08/2024] Open
Abstract
Mechanisms that regulate cell survival and proliferation are important for both the development and homeostasis of normal tissue, and as well as for the emergence and expansion of malignant cell populations. Caspase-3 (CASP3) has long been recognized for its proteolytic role in orchestrating cell death-initiated pathways and related processes; however, whether CASP3 has other functions in mammalian cells that do not depend on its known catalytic activity have remained unknown. To investigate this possibility, we examined the biological and molecular consequences of reducing CASP3 levels in normal and transformed human cells using lentiviral-mediated short hairpin-based knockdown experiments in combination with approaches designed to test the potential rescue capability of different components of the CASP3 protein. The results showed that a ≥50% reduction in CASP3 levels rapidly and consistently arrested cell cycle progression and survival in all cell types tested. Mass spectrometry-based proteomic analyses and more specific flow cytometric measurements strongly implicated CASP3 as playing an essential role in regulating intracellular protein aggregate clearance. Intriguingly, the rescue experiments utilizing different forms of the CASP3 protein showed its prosurvival function and effective removal of protein aggregates did not require its well-known catalytic capability, and pinpointed the N-terminal prodomain of CASP3 as the exclusive component needed in a diversity of human cell types. These findings identify a new mechanism that regulates human cell survival and proliferation and thus expands the complexity of how these processes can be controlled. The graphical abstract illustrates the critical role of CASP3 for sustained proliferation and survival of human cells through the clearance of protein aggregates.
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Affiliation(s)
- Ebrahim Eskandari
- Terry Fox Laboratory, British Columbia Cancer Research Institute, Vancouver, BC, Canada
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
| | - Gian Luca Negri
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Research Institute, University of British Columbia, Vancouver, BC, Canada
| | - Susanna Tan
- Terry Fox Laboratory, British Columbia Cancer Research Institute, Vancouver, BC, Canada
| | - Margarita E MacAldaz
- Terry Fox Laboratory, British Columbia Cancer Research Institute, Vancouver, BC, Canada
| | - Shengsen Ding
- Terry Fox Laboratory, British Columbia Cancer Research Institute, Vancouver, BC, Canada
| | - Justin Long
- Terry Fox Laboratory, British Columbia Cancer Research Institute, Vancouver, BC, Canada
| | - Karina Nielsen
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Research Institute, University of British Columbia, Vancouver, BC, Canada
| | - Sandra E Spencer
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Research Institute, University of British Columbia, Vancouver, BC, Canada
| | - Gregg B Morin
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Research Institute, University of British Columbia, Vancouver, BC, Canada
| | - Connie J Eaves
- Terry Fox Laboratory, British Columbia Cancer Research Institute, Vancouver, BC, Canada.
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada.
- School of Biomedical Engineering, University of British Columbia, Vancouver, BC, Canada.
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4
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Tripathi P, Kumari R, Pathak R. Drugging the undruggable: Advances in targeting KRAS signaling in solid tumors. INTERNATIONAL REVIEW OF CELL AND MOLECULAR BIOLOGY 2024; 385:1-39. [PMID: 38663957 DOI: 10.1016/bs.ircmb.2023.11.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2024]
Abstract
Cancer remains the leading cause of global mortality, prompting a paradigm shift in its treatment and outcomes with the advent of targeted therapies. Among the most prevalent mutations in RAS-driven cancers, Kirsten rat sarcoma viral oncogene homolog (KRAS) mutations account for approximately 86% of cases worldwide, particularly in lung, pancreatic, and colon cancers, contributing to poor prognosis and reduced overall survival. Despite numerous efforts to understand the biology of KRAS mutants and their pivotal role in cancer development, the lack of well-defined drug-binding pockets has deemed KRAS an "undruggable" therapeutic target, presenting significant challenges for researchers and clinicians alike. Through significant biochemical and technological advances, the last decade has witnessed promising breakthroughs in targeted therapies for KRAS-mutated lung, colon, and pancreatic cancers, marking a critical turning point in the field. In this chapter, we provide an overview of the characteristics of KRAS mutations across various solid tumors, highlighting ongoing cutting-edge research on the immune microenvironment, the development of KRAS-driven mice models, and the recent progress in the exploration of specific KRAS mutant-targeted therapeutic approaches. By comprehensive understanding of the intricacies of KRAS signaling in solid tumors and the latest therapeutic developments, this chapter will shed light on the potential for novel therapeutic strategies to combat KRAS-driven tumors and improve patient outcomes.
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Affiliation(s)
- Prajna Tripathi
- Department of Microbiology and Immunology, Weill Cornell Medical College, New York, NY, United States
| | - Rajni Kumari
- Department of Cell Biology, Albert Einstein College of Medicine, New York, NY, United States.
| | - Rajiv Pathak
- Department of Genetics, Albert Einstein College of Medicine, New York, NY, United States.
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5
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Serrano A, Weber T, Berthelet J, El-Saafin F, Gadipally S, Charafe-Jauffret E, Ginestier C, Mariadason JM, Oakes SR, Britt K, Naik SH, Merino D. Experimental and spontaneous metastasis assays can result in divergence in clonal architecture. Commun Biol 2023; 6:821. [PMID: 37550477 PMCID: PMC10406815 DOI: 10.1038/s42003-023-05167-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 07/24/2023] [Indexed: 08/09/2023] Open
Abstract
Intratumoural heterogeneity is associated with poor outcomes in breast cancer. To understand how malignant clones survive and grow in metastatic niches, in vivo models using cell lines and patient-derived xenografts (PDX) have become the gold standard. Injections of cancer cells in orthotopic sites (spontaneous metastasis assays) or into the vasculature (experimental metastasis assays) have been used interchangeably to study the metastatic cascade from early events or post-intravasation, respectively. However, less is known about how these different routes of injection impact heterogeneity. Herein we directly compared the clonality of spontaneous and experimental metastatic assays using the human cell line MDA-MB-231 and a PDX model. Genetic barcoding was used to study the fitness of the subclones in primary and metastatic sites. Using spontaneous assays, we found that intraductal injections resulted in less diverse tumours compared to other routes of injections. Using experimental metastasis assays via tail vein injection of barcoded MDA-MB-231 cells, we also observed an asymmetry in metastatic heterogeneity between lung and liver that was not observed using spontaneous metastasis assays. These results demonstrate that these assays can result in divergent clonal outputs in terms of metastatic heterogeneity and provide a better understanding of the biases inherent to each technique.
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Affiliation(s)
- Antonin Serrano
- Olivia Newton-John Cancer Research Institute, Heidelberg, VIC, 3084, Australia
- School of Cancer Medicine, La Trobe University, Bundoora, VIC, 3086, Australia
- Immunology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, 3052, Australia
- Department of Medical Biology, The Faculty of Medicine, Dentistry and Health Science, The University of Melbourne, Parkville, VIC, 3010, Australia
| | - Tom Weber
- Immunology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, 3052, Australia
- Department of Medical Biology, The Faculty of Medicine, Dentistry and Health Science, The University of Melbourne, Parkville, VIC, 3010, Australia
| | - Jean Berthelet
- Olivia Newton-John Cancer Research Institute, Heidelberg, VIC, 3084, Australia
- School of Cancer Medicine, La Trobe University, Bundoora, VIC, 3086, Australia
| | - Farrah El-Saafin
- Olivia Newton-John Cancer Research Institute, Heidelberg, VIC, 3084, Australia
- School of Cancer Medicine, La Trobe University, Bundoora, VIC, 3086, Australia
| | - Sreeja Gadipally
- Olivia Newton-John Cancer Research Institute, Heidelberg, VIC, 3084, Australia
- School of Cancer Medicine, La Trobe University, Bundoora, VIC, 3086, Australia
| | - Emmanuelle Charafe-Jauffret
- CRCM, Inserm, CNRS, Institut Paoli-Calmettes, Aix-Marseille University, Epithelial Stem Cells and Cancer Laboratory, Equipe labellisée LIGUE contre le cancer, Marseille, 13009, France
| | - Christophe Ginestier
- CRCM, Inserm, CNRS, Institut Paoli-Calmettes, Aix-Marseille University, Epithelial Stem Cells and Cancer Laboratory, Equipe labellisée LIGUE contre le cancer, Marseille, 13009, France
| | - John M Mariadason
- Olivia Newton-John Cancer Research Institute, Heidelberg, VIC, 3084, Australia
- School of Cancer Medicine, La Trobe University, Bundoora, VIC, 3086, Australia
| | - Samantha R Oakes
- Garvan Institute of Medical Research, Darlinghurst, NSW, 2010, Australia
- St Vincent's Clinical School, UNSW Sydney, Darlinghurst, NSW, 2010, Australia
| | - Kara Britt
- Breast Cancer Risk and Prevention Lab, Peter MacCallum Cancer Centre, Melbourne, VIC, 3000, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC, 3000, Australia
| | - Shalin H Naik
- Immunology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, 3052, Australia
- Department of Medical Biology, The Faculty of Medicine, Dentistry and Health Science, The University of Melbourne, Parkville, VIC, 3010, Australia
| | - Delphine Merino
- Olivia Newton-John Cancer Research Institute, Heidelberg, VIC, 3084, Australia.
- School of Cancer Medicine, La Trobe University, Bundoora, VIC, 3086, Australia.
- Immunology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, 3052, Australia.
- Department of Medical Biology, The Faculty of Medicine, Dentistry and Health Science, The University of Melbourne, Parkville, VIC, 3010, Australia.
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6
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Cotner M, Meng S, Jost T, Gardner A, De Santiago C, Brock A. Integration of quantitative methods and mathematical approaches for the modeling of cancer cell proliferation dynamics. Am J Physiol Cell Physiol 2023; 324:C247-C262. [PMID: 36503241 PMCID: PMC9886359 DOI: 10.1152/ajpcell.00185.2022] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Revised: 11/21/2022] [Accepted: 11/21/2022] [Indexed: 12/15/2022]
Abstract
Physiological processes rely on the control of cell proliferation, and the dysregulation of these processes underlies various pathological conditions, including cancer. Mathematical modeling can provide new insights into the complex regulation of cell proliferation dynamics. In this review, we first examine quantitative experimental approaches for measuring cell proliferation dynamics in vitro and compare the various types of data that can be obtained in these settings. We then explore the toolbox of common mathematical modeling frameworks that can describe cell behavior, dynamics, and interactions of proliferation. We discuss how these wet-laboratory studies may be integrated with different mathematical modeling approaches to aid the interpretation of the results and to enable the prediction of cell behaviors, specifically in the context of cancer.
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Affiliation(s)
- Michael Cotner
- Department of Biomedical Engineering, The University of Texas at Austin, Austin, Texas
| | - Sarah Meng
- Department of Biomedical Engineering, The University of Texas at Austin, Austin, Texas
| | - Tyler Jost
- Department of Biomedical Engineering, The University of Texas at Austin, Austin, Texas
| | - Andrea Gardner
- Department of Biomedical Engineering, The University of Texas at Austin, Austin, Texas
| | - Carolina De Santiago
- Department of Biomedical Engineering, The University of Texas at Austin, Austin, Texas
| | - Amy Brock
- Department of Biomedical Engineering, The University of Texas at Austin, Austin, Texas
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7
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Lee MC, Cai H, Murray CW, Li C, Shue YT, Andrejka L, He AL, Holzem AME, Drainas AP, Ko JH, Coles GL, Kong C, Zhu S, Zhu C, Wang J, van de Rijn M, Petrov DA, Winslow MM, Sage J. A multiplexed in vivo approach to identify driver genes in small cell lung cancer. Cell Rep 2023; 42:111990. [PMID: 36640300 PMCID: PMC9972901 DOI: 10.1016/j.celrep.2023.111990] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Revised: 10/24/2022] [Accepted: 01/04/2023] [Indexed: 01/15/2023] Open
Abstract
Small cell lung cancer (SCLC) is a lethal form of lung cancer. Here, we develop a quantitative multiplexed approach on the basis of lentiviral barcoding with somatic CRISPR-Cas9-mediated genome editing to functionally investigate candidate regulators of tumor initiation and growth in genetically engineered mouse models of SCLC. We found that naphthalene pre-treatment enhances lentiviral vector-mediated SCLC initiation, enabling high multiplicity of tumor clones for analysis through high-throughput sequencing methods. Candidate drivers of SCLC identified from a meta-analysis across multiple human SCLC genomic datasets were tested using this approach, which defines both positive and detrimental impacts of inactivating 40 genes across candidate pathways on SCLC development. This analysis and subsequent validation in human SCLC cells establish TSC1 in the PI3K-AKT-mTOR pathway as a robust tumor suppressor in SCLC. This approach should illuminate drivers of SCLC, facilitate the development of precision therapies for defined SCLC genotypes, and identify therapeutic targets.
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Affiliation(s)
- Myung Chang Lee
- Department of Pediatrics, Stanford University, 265 Campus Drive, SIM1 G2078, Stanford, CA 94305, USA; Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | - Hongchen Cai
- Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | | | - Chuan Li
- Department of Biology, Stanford University, Stanford, CA 94305, USA
| | - Yan Ting Shue
- Department of Pediatrics, Stanford University, 265 Campus Drive, SIM1 G2078, Stanford, CA 94305, USA; Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | - Laura Andrejka
- Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | - Andy L He
- Department of Pediatrics, Stanford University, 265 Campus Drive, SIM1 G2078, Stanford, CA 94305, USA; Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | - Alessandra M E Holzem
- Department of Pediatrics, Stanford University, 265 Campus Drive, SIM1 G2078, Stanford, CA 94305, USA; Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | - Alexandros P Drainas
- Department of Pediatrics, Stanford University, 265 Campus Drive, SIM1 G2078, Stanford, CA 94305, USA; Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | - Julie H Ko
- Department of Pediatrics, Stanford University, 265 Campus Drive, SIM1 G2078, Stanford, CA 94305, USA; Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | - Garry L Coles
- Department of Pediatrics, Stanford University, 265 Campus Drive, SIM1 G2078, Stanford, CA 94305, USA; Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | - Christina Kong
- Department of Pathology, Stanford University, Stanford, CA 94305, USA
| | - Shirley Zhu
- Department of Pathology, Stanford University, Stanford, CA 94305, USA
| | - ChunFang Zhu
- Department of Pathology, Stanford University, Stanford, CA 94305, USA
| | - Jason Wang
- Department of Pathology, Stanford University, Stanford, CA 94305, USA
| | - Matt van de Rijn
- Department of Pathology, Stanford University, Stanford, CA 94305, USA
| | - Dmitri A Petrov
- Department of Biology, Stanford University, Stanford, CA 94305, USA; Chan Zuckerberg Biohub, San Francisco, CA 94158, USA
| | - Monte M Winslow
- Department of Genetics, Stanford University, Stanford, CA 94305, USA; Department of Pathology, Stanford University, Stanford, CA 94305, USA
| | - Julien Sage
- Department of Pediatrics, Stanford University, 265 Campus Drive, SIM1 G2078, Stanford, CA 94305, USA; Department of Genetics, Stanford University, Stanford, CA 94305, USA.
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8
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Qin G, Park ES, Chen X, Han S, Xiang D, Ren F, Liu G, Chen H, Yuan GC, Li Z. Distinct niche structures and intrinsic programs of fallopian tube and ovarian surface epithelial cells. iScience 2022; 26:105861. [PMID: 36624845 PMCID: PMC9823228 DOI: 10.1016/j.isci.2022.105861] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 11/17/2022] [Accepted: 11/18/2022] [Indexed: 12/24/2022] Open
Abstract
Epithelial ovarian cancer (EOC) can originate from either fallopian tube epithelial (FTE) or ovarian surface epithelial (OSE) cells, but with different latencies and disease outcomes. To address the basis of these differences, we performed single cell RNA-sequencing of mouse cells isolated from the distal half of fallopian tube (FT) and surface layer of ovary. We find at the molecular level, FTE secretory stem/progenitor cells and OSE cells resemble mammary luminal progenitors and basal cells, respectively. An FT stromal subpopulation, enriched with Pdgfra + and Esr1 + cells, expresses multiple secreted factor (e.g., IGF1) and Hedgehog pathway genes and may serve as a niche for FTE cells. In contrast, Lgr5 + OSE cells express similar genes largely by themselves, raising a possibility that they serve as their own niche. The differences in intrinsic expression programs and niche organizations of FTE and OSE cells may contribute to their different courses toward the development of EOCs.
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Affiliation(s)
- Guyu Qin
- Division of Genetics, Brigham and Women’s Hospital, Boston, MA 02115, USA,Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
| | - Eun-Sil Park
- Division of Genetics, Brigham and Women’s Hospital, Boston, MA 02115, USA,Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
| | - Xueqing Chen
- Division of Genetics, Brigham and Women’s Hospital, Boston, MA 02115, USA,Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
| | - Sen Han
- Division of Genetics, Brigham and Women’s Hospital, Boston, MA 02115, USA,Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
| | - Dongxi Xiang
- Division of Genetics, Brigham and Women’s Hospital, Boston, MA 02115, USA,Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
| | - Fang Ren
- Division of Genetics, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - Gang Liu
- Division of Genetics, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - Huidong Chen
- Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Harvard School of Public Health, Boston, MA 02215, USA
| | - Guo-Cheng Yuan
- Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Harvard School of Public Health, Boston, MA 02215, USA
| | - Zhe Li
- Division of Genetics, Brigham and Women’s Hospital, Boston, MA 02115, USA,Department of Medicine, Harvard Medical School, Boston, MA 02115, USA,Corresponding author
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9
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CFNC, a neocryptolepine derivative, inhibited the growth of gastric cancer AGS cells by inhibiting PI3K/AKT signaling pathway. Eur J Pharmacol 2022; 938:175408. [PMID: 36442620 DOI: 10.1016/j.ejphar.2022.175408] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Revised: 11/17/2022] [Accepted: 11/21/2022] [Indexed: 11/26/2022]
Abstract
Gastric cancer is highly heterogeneous and there is still a lack of efficient, low-toxicity small molecule compounds for the treatment of gastric cancer. Natural products are important sources for the development of antitumor compounds. Therefore, it is promising strategy to find the lead compound of anti-gastric cancer agents by structural modification of natural products. The aim of this study was to synthesize a novel neocryptolepine derivative CFNC and explore its potential anti-gastric cancer effect and molecular mechanism. The MTT assay showed that the IC50 of CFNC on AGS cells reached 148 nM. CFNC arrested AGS cells in the G2/M phase of the cell cycle. Furthermore, CFNC inhibited cell proliferation and migration, leading to the loss of membrane potential by causing mitochondrial dysfunction, which induced the apoptosis of AGS cells. Western blot assay suggested that CFNC could inhibit the expression of important proteins in the PI3K/AKT/mTOR signaling pathway. These results showed that CFNC exhibited strong cytotoxic activity in gastric cancer cell lines by regulating the PI3K/AKT/mTOR signaling pathway. Taken together, CFNC could be a promising lead compound for the clinical treatment of gastric cancer.
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10
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Serrano A, Berthelet J, Naik SH, Merino D. Mastering the use of cellular barcoding to explore cancer heterogeneity. Nat Rev Cancer 2022; 22:609-624. [PMID: 35982229 DOI: 10.1038/s41568-022-00500-2] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/13/2022] [Indexed: 11/09/2022]
Abstract
Tumours are often composed of a multitude of malignant clones that are genomically unique, and only a few of them may have the ability to escape cancer therapy and grow as symptomatic lesions. As a result, tumours with a large degree of genomic diversity have a higher chance of leading to patient death. However, clonal fate can be driven by non-genomic features. In this context, new technologies are emerging not only to track the spatiotemporal fate of individual cells and their progeny but also to study their molecular features using various omics analysis. In particular, the recent development of cellular barcoding facilitates the labelling of tens to millions of cancer clones and enables the identification of the complex mechanisms associated with clonal fate in different microenvironments and in response to therapy. In this Review, we highlight the recent discoveries made using lentiviral-based cellular barcoding techniques, namely genetic and optical barcoding. We also emphasize the strengths and limitations of each of these technologies and discuss some of the key concepts that must be taken into consideration when one is designing barcoding experiments. Finally, we suggest new directions to further improve the use of these technologies in cancer research.
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Affiliation(s)
- Antonin Serrano
- Olivia Newton-John Cancer Research Institute, Heidelberg, Victoria, Australia
- School of Cancer Medicine, La Trobe University, Bundoora, Victoria, Australia
- Immunology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
- Department of Medical Biology, Faculty of Medicine, Dentistry and Health Science, The University of Melbourne, Parkville, Victoria, Australia
| | - Jean Berthelet
- Olivia Newton-John Cancer Research Institute, Heidelberg, Victoria, Australia
- School of Cancer Medicine, La Trobe University, Bundoora, Victoria, Australia
| | - Shalin H Naik
- Immunology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
- Department of Medical Biology, Faculty of Medicine, Dentistry and Health Science, The University of Melbourne, Parkville, Victoria, Australia
| | - Delphine Merino
- Olivia Newton-John Cancer Research Institute, Heidelberg, Victoria, Australia.
- School of Cancer Medicine, La Trobe University, Bundoora, Victoria, Australia.
- Immunology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia.
- Department of Medical Biology, Faculty of Medicine, Dentistry and Health Science, The University of Melbourne, Parkville, Victoria, Australia.
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11
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Zhang ZY, Ding Y, Ezhilarasan R, Lhakhang T, Wang Q, Yang J, Modrek AS, Zhang H, Tsirigos A, Futreal A, Draetta GF, Verhaak RGW, Sulman EP. Lineage-coupled clonal capture identifies clonal evolution mechanisms and vulnerabilities of BRAF V600E inhibition resistance in melanoma. Cell Discov 2022; 8:102. [PMID: 36202798 PMCID: PMC9537441 DOI: 10.1038/s41421-022-00462-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Accepted: 08/24/2022] [Indexed: 11/09/2022] Open
Abstract
Targeted cancer therapies have revolutionized treatment but their efficacies are limited by the development of resistance driven by clonal evolution within tumors. We developed "CAPTURE", a single-cell barcoding approach to comprehensively trace clonal dynamics and capture live lineage-coupled resistant cells for in-depth multi-omics analysis and functional exploration. We demonstrate that heterogeneous clones, either preexisting or emerging from drug-tolerant persister cells, dominated resistance to vemurafenib in BRAFV600E melanoma. Further integrative studies uncovered diverse resistance mechanisms. This includes a previously unrecognized and clinically relevant mechanism, chromosome 18q21 gain, which leads to vulnerability of the cells to BCL2 inhibitor. We also identified targetable common dependencies of captured resistant clones, such as oxidative phosphorylation and E2F pathways. Our study provides new therapeutic insights into overcoming therapy resistance in BRAFV600E melanoma and presents a platform for exploring clonal evolution dynamics and vulnerabilities that can be applied to study treatment resistance in other cancers.
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Affiliation(s)
- Ze-Yan Zhang
- Department of Radiation Oncology, New York University (NYU) Grossman School of Medicine, New York, NY, USA.
- Brain and Spine Tumor Center, Laura and Isaac Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA.
| | - Yingwen Ding
- Department of Radiation Oncology, New York University (NYU) Grossman School of Medicine, New York, NY, USA
- Brain and Spine Tumor Center, Laura and Isaac Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA
| | - Ravesanker Ezhilarasan
- Department of Radiation Oncology, New York University (NYU) Grossman School of Medicine, New York, NY, USA
- Brain and Spine Tumor Center, Laura and Isaac Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA
| | - Tenzin Lhakhang
- Applied Bioinformatics Laboratories, NYU Grossman School of Medicine, New York, NY, USA
| | - Qianghu Wang
- Department of Bioinformatics, Nanjing Medical University, Nanjing, Jiangsu, China
- Institute for Brain Tumors, Jiangsu Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, Jiangsu, China
- Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing, Jiangsu, China
| | - Jie Yang
- Department of Radiation Oncology, New York University (NYU) Grossman School of Medicine, New York, NY, USA
- Brain and Spine Tumor Center, Laura and Isaac Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA
| | - Aram S Modrek
- Department of Radiation Oncology, New York University (NYU) Grossman School of Medicine, New York, NY, USA
- Brain and Spine Tumor Center, Laura and Isaac Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA
| | - Hua Zhang
- Laura and Isaac Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA
| | - Aristotelis Tsirigos
- Applied Bioinformatics Laboratories, NYU Grossman School of Medicine, New York, NY, USA
| | - Andrew Futreal
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Giulio F Draetta
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Roel G W Verhaak
- Department of Computational Biology, The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | - Erik P Sulman
- Department of Radiation Oncology, New York University (NYU) Grossman School of Medicine, New York, NY, USA.
- Brain and Spine Tumor Center, Laura and Isaac Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA.
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12
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Aalam S, Tang X, Song J, Ray U, Russell S, Weroha S, Bakkum-Gamez J, Shridhar V, Sherman M, Eaves C, Knapp DJHF, Kalari K, Kannan N. DNA barcoded competitive clone-initiating cell analysis reveals novel features of metastatic growth in a cancer xenograft model. NAR Cancer 2022; 4:zcac022. [PMID: 35875052 PMCID: PMC9303272 DOI: 10.1093/narcan/zcac022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Revised: 06/17/2022] [Accepted: 06/24/2022] [Indexed: 12/02/2022] Open
Abstract
A problematic feature of many human cancers is a lack of understanding of mechanisms controlling organ-specific patterns of metastasis, despite recent progress in identifying many mutations and transcriptional programs shown to confer this potential. To address this gap, we developed a methodology that enables different aspects of the metastatic process to be comprehensively characterized at a clonal resolution. Our approach exploits the application of a computational pipeline to analyze and visualize clonal data obtained from transplant experiments in which a cellular DNA barcoding strategy is used to distinguish the separate clonal contributions of two or more competing cell populations. To illustrate the power of this methodology, we demonstrate its ability to discriminate the metastatic behavior in immunodeficient mice of a well-established human metastatic cancer cell line and its co-transplanted LRRC15 knockdown derivative. We also show how the use of machine learning to quantify clone-initiating cell (CIC) numbers and their subsequent metastatic progeny generated in different sites can reveal previously unknown relationships between different cellular genotypes and their initial sites of implantation with their subsequent respective dissemination patterns. These findings underscore the potential of such combined genomic and computational methodologies to identify new clonally-relevant drivers of site-specific patterns of metastasis.
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Affiliation(s)
- Syed Mohammed Musheer Aalam
- Division of Experimental Pathology and Laboratory Medicine, Department of Laboratory Medicine and Pathology, Mayo Clinic , Rochester, MN, USA
| | - Xiaojia Tang
- Department of Health Sciences Research, Mayo Clinic , Rochester, MN, USA
| | - Jianning Song
- Division of Experimental Pathology and Laboratory Medicine, Department of Laboratory Medicine and Pathology, Mayo Clinic , Rochester, MN, USA
| | - Upasana Ray
- Division of Experimental Pathology and Laboratory Medicine, Department of Laboratory Medicine and Pathology, Mayo Clinic , Rochester, MN, USA
| | | | - S John Weroha
- Department of Oncology, Mayo Clinic , Rochester, MN, USA
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic , Rochester, MN, USA
| | - Jamie Bakkum-Gamez
- Division of Gynecologic Oncology Surgery, Department of Obstetrics and Gynecology, Mayo Clinic , Rochester, MN, USA
| | - Viji Shridhar
- Division of Experimental Pathology and Laboratory Medicine, Department of Laboratory Medicine and Pathology, Mayo Clinic , Rochester, MN, USA
| | - Mark E Sherman
- Department of Quantitative Health Sciences, Mayo Clinic , Jacksonville, FL, USA
| | - Connie J Eaves
- Terry Fox Laboratory, British Columbia Cancer Research Institute , Vancouver, BC, Canada
- Departments of Medical Genetics and School of Biomedical Engineering, University of British Columbia , Vancouver, BC, Canada
| | - David J H F Knapp
- Division of Experimental Pathology and Laboratory Medicine, Department of Laboratory Medicine and Pathology, Mayo Clinic , Rochester, MN, USA
- Institut de Recherche en Immunologie et Cancérologie, and Département de Pathologie et Biologie Cellulaire, Université de Montréal , Montreal, QC, Canada
| | - Krishna R Kalari
- Department of Health Sciences Research, Mayo Clinic , Rochester, MN, USA
| | - Nagarajan Kannan
- Division of Experimental Pathology and Laboratory Medicine, Department of Laboratory Medicine and Pathology, Mayo Clinic , Rochester, MN, USA
- Mayo Clinic Cancer Center, Mayo Clinic , Rochester, MN, USA
- Center for Regenerative Medicine, Mayo Clinic , Rochester, MN, USA
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13
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Wagner KU. Know thy cells: commonly used triple-negative human breast cancer cell lines carry mutations in RAS and effectors. Breast Cancer Res 2022; 24:44. [PMID: 35761335 PMCID: PMC9238191 DOI: 10.1186/s13058-022-01538-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Accepted: 06/16/2022] [Indexed: 11/10/2022] Open
Affiliation(s)
- Kay-Uwe Wagner
- Department of Oncology, School of Medicine and Tumor Biology Program, Barbara Ann Karmanos Cancer Institute, Wayne State University, 4100 John R, Mail Code EL01TM, Detroit, MI, 48201, USA.
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14
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Tavakolian N, Frazão JG, Bendixsen D, Stelkens R, Li CB. Shepherd: Accurate Clustering for Correcting DNA Barcode Errors. Bioinformatics 2022; 38:3710-3716. [PMID: 35708611 PMCID: PMC9344852 DOI: 10.1093/bioinformatics/btac395] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Revised: 03/26/2022] [Accepted: 06/13/2022] [Indexed: 11/13/2022] Open
Abstract
Motivation DNA barcodes are short, random nucleotide sequences introduced into cell populations to track the relative counts of hundreds of thousands of individual lineages over time. Lineage tracking is widely applied, e.g. to understand evolutionary dynamics in microbial populations and the progression of breast cancer in humans. Barcode sequences are unknown upon insertion and must be identified using next-generation sequencing technology, which is error prone. In this study, we frame the barcode error correction task as a clustering problem with the aim to identify true barcode sequences from noisy sequencing data. We present Shepherd, a novel clustering method that is based on an indexing system of barcode sequences using k-mers, and a Bayesian statistical test incorporating a substitution error rate to distinguish true from error sequences. Results When benchmarking with synthetic data, Shepherd provides barcode count estimates that are significantly more accurate than state-of-the-art methods, producing 10–150 times fewer spurious lineages. For empirical data, Shepherd produces results that are consistent with the improvements seen on synthetic data. These improvements enable higher resolution lineage tracking and more accurate estimates of biologically relevant quantities, e.g. the detection of small effect mutations. Availability and implementation A Python implementation of Shepherd is freely available at: https://www.github.com/Nik-Tavakolian/Shepherd. Supplementary information Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Nik Tavakolian
- Department of Mathematics, Stockholm University, Stockholm, 10691, Sweden
| | | | - Devin Bendixsen
- Department of Zoology, Stockholm University, Stockholm, 10691, Sweden
| | - Rike Stelkens
- Department of Zoology, Stockholm University, Stockholm, 10691, Sweden
| | - Chun-Biu Li
- Department of Mathematics, Stockholm University, Stockholm, 10691, Sweden
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15
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Weele LJ, Djomehri SI, Cai S, Antony J, Sikandar SS, Qian D, Ho WH, West R, Scheeren FA, Clarke MF. Mesenchymal tumor cells drive adaptive resistance of
Trp53
‐/‐
breast tumor cells to inactivated mutant
Kras. Mol Oncol 2022; 16:3128-3145. [PMID: 35398967 PMCID: PMC9441006 DOI: 10.1002/1878-0261.13220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 03/13/2022] [Accepted: 04/07/2022] [Indexed: 11/10/2022] Open
Affiliation(s)
- Linda J. Weele
- Institute for Stem Cell Biology and Regenerative Medicine School of Medicine Stanford University Stanford CA 94305 USA
| | - Sabra I. Djomehri
- Institute for Stem Cell Biology and Regenerative Medicine School of Medicine Stanford University Stanford CA 94305 USA
| | - Shang Cai
- Institute for Stem Cell Biology and Regenerative Medicine School of Medicine Stanford University Stanford CA 94305 USA
- Westlake University Shilongshan St #18 Hangzhou, Xihu District Zhejiang Province China
| | - Jane Antony
- Institute for Stem Cell Biology and Regenerative Medicine School of Medicine Stanford University Stanford CA 94305 USA
| | - Shaheen S. Sikandar
- Institute for Stem Cell Biology and Regenerative Medicine School of Medicine Stanford University Stanford CA 94305 USA
- Department of Molecular, Cell and Developmental Biology University of California Santa Cruz CA 95064 USA
| | - Dalong Qian
- Institute for Stem Cell Biology and Regenerative Medicine School of Medicine Stanford University Stanford CA 94305 USA
| | - William H.D. Ho
- Institute for Stem Cell Biology and Regenerative Medicine School of Medicine Stanford University Stanford CA 94305 USA
- Department of Stem Cell Biotechnology California State University Channel Islands Camarillo CA 93012 USA
| | - Robert West
- Department Pathology Stanford University Medical Center Palo Alto CA 94304 USA
| | - Ferenc A. Scheeren
- Department of Medical Oncology Leiden University Medical Center Leiden RC 2300 The Netherlands
| | - Michael F. Clarke
- Institute for Stem Cell Biology and Regenerative Medicine School of Medicine Stanford University Stanford CA 94305 USA
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16
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Bystrykh LV, Belderbos ME. Measures of Clonal Hematopoiesis: Are We Missing Something? Front Med (Lausanne) 2022; 9:836141. [PMID: 35433751 PMCID: PMC9008402 DOI: 10.3389/fmed.2022.836141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Accepted: 03/08/2022] [Indexed: 11/17/2022] Open
Abstract
Clonal Hematopoiesis (CH) is a common, age-related phenomenon of growing scientific interest, due to its association with hematologic malignancy, cardiovascular disease and decreased overall survival. CH is commonly attributed to the preferential outgrowth of a mutant hematopoietic stem cell (HSC) with enhanced fitness, resulting in clonal imbalance. In-depth understanding of the relation between HSC clonal dynamics, CH and hematologic malignancy requires integration of fundamental lineage tracing studies with clinical data. However, this is hampered by lack of a uniform definition of CH and by inconsistency in the analytical methods used for its quantification. Here, we propose a conceptual and analytical framework for the definition and measurement of CH. First, we transformed the conceptual definition of CH into the CH index, which provides a quantitative measure of clone numbers and sizes. Next, we generated a set of synthetic data, based on the beta-distribution, to simulate clonal populations with different degrees of imbalance. Using these clonal distributions and the CH index as a reference, we tested several established indices of clonal diversity and (in-)equality for their ability to detect and quantify CH. We found that the CH index was distinct from any of the other tested indices. Nonetheless, the diversity indices (Shannon, Simpson) more closely resembled the CH index than the inequality indices (Gini, Pielou). Notably, whereas the inequality indices mainly responded to changes in clone sizes, the CH index and the tested diversity indices also responded to changes in the number of clones in a sample. Accordingly, these simulations indicate that CH can result not only by skewing clonal abundancies, but also by variation in their overall numbers. Altogether, our model-based approach illustrates how a formalized definition and quantification of CH can provide insights into its pathogenesis. In the future, use of the CH index or Shannon index to quantify clonal diversity in fundamental as well as clinical clone-tracing studies will promote cross-disciplinary discussion and progress in the field.
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Affiliation(s)
- Leonid V. Bystrykh
- Department for Stem Cell Biology and Ageing, European Research Institute for the Biology of Ageing, University Medical Center Groningen, Groningen, Netherlands
- *Correspondence: Leonid V. Bystrykh,
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17
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Shembrey C, Smith J, Grandin M, Williams N, Cho HJ, Mølck C, Behrenbruch C, Thomson BNJ, Heriot AG, Merino D, Hollande F. Longitudinal Monitoring of Intra-Tumoural Heterogeneity Using Optical Barcoding of Patient-Derived Colorectal Tumour Models. Cancers (Basel) 2022; 14:581. [PMID: 35158849 PMCID: PMC8833441 DOI: 10.3390/cancers14030581] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Revised: 01/16/2022] [Accepted: 01/19/2022] [Indexed: 02/01/2023] Open
Abstract
Geno- and phenotypic heterogeneity amongst cancer cell subpopulations are established drivers of treatment resistance and tumour recurrence. However, due to the technical difficulty associated with studying such intra-tumoural heterogeneity, this phenomenon is seldom interrogated in conventional cell culture models. Here, we employ a fluorescent lineage technique termed "optical barcoding" (OBC) to perform simultaneous longitudinal tracking of spatio-temporal fate in 64 patient-derived colorectal cancer subclones. To do so, patient-derived cancer cell lines and organoids were labelled with discrete combinations of reporter constructs, stably integrated into the genome and thus passed on from the founder cell to all its clonal descendants. This strategy enables the longitudinal monitoring of individual cell lineages based upon their unique optical barcodes. By designing a novel panel of six fluorescent proteins, the maximum theoretical subpopulation resolution of 64 discriminable subpopulations was achieved, greatly improving throughput compared with previous studies. We demonstrate that all subpopulations can be purified from complex clonal mixtures via flow cytometry, permitting the downstream isolation and analysis of any lineages of interest. Moreover, we outline an optimized imaging protocol that can be used to image optical barcodes in real-time, allowing for clonal dynamics to be resolved in live cells. In contrast with the limited intra-tumour heterogeneity observed in conventional 2D cell lines, the OBC technique was successfully used to quantify dynamic clonal expansions and contractions in 3D patient-derived organoids, which were previously demonstrated to better recapitulate the heterogeneity of their parental tumour material. In summary, we present OBC as a user-friendly, inexpensive, and high-throughput technique for monitoring intra-tumoural heterogeneity in in vitro cell culture models.
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Affiliation(s)
- Carolyn Shembrey
- Department of Clinical Pathology, University of Melbourne, Melbourne, VIC 3000, Australia; (C.S.); (J.S.); (M.G.); (N.W.); (C.M.); (C.B.)
- Victorian Comprehensive Cancer Centre, University of Melbourne Centre for Cancer Research, Melbourne, VIC 3000, Australia
| | - Jai Smith
- Department of Clinical Pathology, University of Melbourne, Melbourne, VIC 3000, Australia; (C.S.); (J.S.); (M.G.); (N.W.); (C.M.); (C.B.)
- Victorian Comprehensive Cancer Centre, University of Melbourne Centre for Cancer Research, Melbourne, VIC 3000, Australia
| | - Mélodie Grandin
- Department of Clinical Pathology, University of Melbourne, Melbourne, VIC 3000, Australia; (C.S.); (J.S.); (M.G.); (N.W.); (C.M.); (C.B.)
- Victorian Comprehensive Cancer Centre, University of Melbourne Centre for Cancer Research, Melbourne, VIC 3000, Australia
| | - Nathalia Williams
- Department of Clinical Pathology, University of Melbourne, Melbourne, VIC 3000, Australia; (C.S.); (J.S.); (M.G.); (N.W.); (C.M.); (C.B.)
- Victorian Comprehensive Cancer Centre, University of Melbourne Centre for Cancer Research, Melbourne, VIC 3000, Australia
| | - Hyun-Jung Cho
- Biological Optical Microscopy Platform, University of Melbourne, Melbourne, VIC 3010, Australia;
| | - Christina Mølck
- Department of Clinical Pathology, University of Melbourne, Melbourne, VIC 3000, Australia; (C.S.); (J.S.); (M.G.); (N.W.); (C.M.); (C.B.)
- Victorian Comprehensive Cancer Centre, University of Melbourne Centre for Cancer Research, Melbourne, VIC 3000, Australia
| | - Corina Behrenbruch
- Department of Clinical Pathology, University of Melbourne, Melbourne, VIC 3000, Australia; (C.S.); (J.S.); (M.G.); (N.W.); (C.M.); (C.B.)
- Victorian Comprehensive Cancer Centre, University of Melbourne Centre for Cancer Research, Melbourne, VIC 3000, Australia
- The Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, VIC 3010, Australia;
- Department of General Surgical Specialties, The Royal Melbourne Hospital, University of Melbourne, Melbourne, VIC 3050, Australia;
| | - Benjamin NJ. Thomson
- Department of General Surgical Specialties, The Royal Melbourne Hospital, University of Melbourne, Melbourne, VIC 3050, Australia;
- Department of Surgery, the Royal Melbourne Hospital, University of Melbourne, Melbourne, VIC 3050, Australia
| | - Alexander G. Heriot
- The Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, VIC 3010, Australia;
- Department of Cancer Surgery, Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia
- Department of Surgery, St Vincent’s Hospital, Melbourne, VIC 3065, Australia
| | - Delphine Merino
- Olivia Newton-John Cancer Research Institute, Heidelberg, VIC 3084, Australia;
- School of Cancer Medicine, La Trobe University, Melbourne, VIC 3086, Australia
- Immunology Division, The Walter and Eliza Hall Institute of Medical Research, Melbourne, VIC 3052, Australia
- Department of Medical Biology, The Faculty of Medicine, Dentistry and Health Science, University of Melbourne, Melbourne, VIC 3010, Australia
| | - Frédéric Hollande
- Department of Clinical Pathology, University of Melbourne, Melbourne, VIC 3000, Australia; (C.S.); (J.S.); (M.G.); (N.W.); (C.M.); (C.B.)
- Victorian Comprehensive Cancer Centre, University of Melbourne Centre for Cancer Research, Melbourne, VIC 3000, Australia
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18
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De novo and cell line models of human mammary cell transformation reveal an essential role for Yb-1 in multiple stages of human breast cancer. Cell Death Differ 2022; 29:54-64. [PMID: 34294889 PMCID: PMC8738742 DOI: 10.1038/s41418-021-00836-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Revised: 07/03/2021] [Accepted: 07/07/2021] [Indexed: 02/07/2023] Open
Abstract
Breast cancer heterogeneity has made it challenging to identify mechanisms critical to the initial stages of their genesis in vivo. Here, we sought to interrogate the role of YB-1 in newly arising human breast cancers as well as in established cell lines. In a first series of experiments, we found that short-hairpin RNA-mediated knockdown of YB-1 in MDA-MB-231 cells blocked both their local tumour-forming and lung-colonising activity in immunodeficient mice. Conversely, upregulated expression of YB-1 enhanced the poor in vivo tumorigenicity of T47D cells. We then found that YB-1 knockdown also inhibits the initial generation in mice of invasive ductal carcinomas and ductal carcinomas in situ from freshly isolated human mammary cells transduced, respectively, with KRASG12D or myristoylated-AKT1. Interestingly, increased expression of HIF1α and G3BP1, two YB-1 translational targets and elements of a stress-adaptive programme, mirrored the levels of YB-1 in both transformed primary and established MDA-MB-231 breast cancer cells.
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19
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How Lineage Tracing Studies Can Unveil Tumor Heterogeneity in Breast Cancer. Biomedicines 2021; 10:biomedicines10010003. [PMID: 35052683 PMCID: PMC8772890 DOI: 10.3390/biomedicines10010003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Revised: 12/12/2021] [Accepted: 12/17/2021] [Indexed: 11/17/2022] Open
Abstract
Lineage tracing studies have become a well-suited approach to reveal cellular hierarchies and tumor heterogeneity. Cellular heterogeneity, particularly in breast cancer, is still one of the main concerns regarding tumor progression and resistance to anti-cancer therapies. Here, we review the current knowledge about lineage tracing analyses that have contributed to an improved comprehension of the complexity of mammary tumors, highlighting how targeting different mammary epithelial cells and tracing their progeny can be useful to explore the intra- and inter-heterogeneity observed in breast cancer. In addition, we examine the strategies used to identify the cell of origin in different breast cancer subtypes and summarize how cellular plasticity plays an important role during tumorigenesis. Finally, we evaluate the clinical implications of lineage tracing studies and the challenges remaining to address tumor heterogeneity in breast cancer.
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20
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Kumar B, Bhat-Nakshatri P, Maguire C, Jacobsen M, Temm CJ, Sandusky G, Nakshatri H. Bidirectional Regulatory Cross-Talk between Cell Context and Genomic Aberrations Shapes Breast Tumorigenesis. Mol Cancer Res 2021; 19:1802-1817. [PMID: 34285086 PMCID: PMC8568628 DOI: 10.1158/1541-7786.mcr-21-0163] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Revised: 06/02/2021] [Accepted: 07/16/2021] [Indexed: 11/16/2022]
Abstract
Breast cancers are classified into five intrinsic subtypes and 10 integrative clusters based on gene expression patterns and genomic aberrations, respectively. Although the cell-of-origin, adaptive plasticity, and genomic aberrations shape dynamic transcriptomic landscape during cancer progression, how interplay between these three core elements governs obligatory steps for a productive cancer progression is unknown. Here, we used genetic ancestry-mapped immortalized breast epithelial cell lines generated from breast biopsies of healthy women that share gene expression profiles of luminal A, normal-like, and basal-like intrinsic subtypes of breast cancers and breast cancer relevant oncogenes to develop breast cancer progression model. Using flow cytometry, mammosphere growth, signaling pathway, DNA damage response, and in vivo tumorigenicity assays, we provide evidence that establishes cell context-dependent effects of oncogenes in conferring plasticity, self-renewal/differentiation, intratumor heterogeneity, and metastatic properties. In contrast, oncogenic aberrations, independent of cell context, shaped response to DNA damage-inducing agents. Collectively, this study reveals how the same set of genomic aberration can have distinct effects on tumor characteristics based on cell-of-origin of tumor and highlights the need to utilize multiple "normal" epithelial cell types to decipher oncogenic properties of a gene of interest. In addition, by creating multiple isogenic cell lines ranging from primary cells to metastatic variants, we provide resources to elucidate cell-intrinsic properties and cell-oncogene interactions at various stages of cancer progression. IMPLICATIONS: Our findings demonstrate that how an interplay between the normal cell type that encountered genomic aberrations and type of genomic aberration influences heterogeneity, self-renewal/differentiation, and tumor properties including propensity for metastasis.
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Affiliation(s)
- Brijesh Kumar
- Departments of Surgery, Indiana University School of Medicine, Indianapolis, Indiana
| | | | - Calli Maguire
- Department of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis, Indiana
| | - Max Jacobsen
- Department of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis, Indiana
| | - Constance J Temm
- Department of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis, Indiana
| | - George Sandusky
- Department of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis, Indiana
| | - Harikrishna Nakshatri
- Departments of Surgery, Indiana University School of Medicine, Indianapolis, Indiana.
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, Indiana
- Richard L. Roudebush VA Medical Center, Indianapolis, Indiana
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21
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Wursthorn A, Schwager C, Kurth I, Peitzsch C, Herold-Mende C, Debus J, Abdollahi A, Nowrouzi A. High-Complexity cellular barcoding and clonal tracing reveals stochastic and deterministic parameters of radiation resistance. Int J Cancer 2021; 150:663-677. [PMID: 34706068 DOI: 10.1002/ijc.33855] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Revised: 07/16/2021] [Accepted: 08/26/2021] [Indexed: 11/10/2022]
Abstract
It is elusive whether clonal selection of tumor cells in response to ionizing radiation (IR) is a deterministic or stochastic process. With high resolution clonal barcoding and tracking of over 400 000 HNSCC patient-derived tumor cells the clonal dynamics of tumor cells in response to IR was analyzed. Fractionated IR induced a strong selective pressure for clonal reduction which significantly exceeded uniform clonal survival probabilities indicative for a strong clone-to-clone difference within tumor cell lines. IR induced clonal reduction affected the majority of tumor cells ranging between 96% and 75% and correlated to the degree of radiation sensitivity. Survival to IR is driven by a deterministic clonal selection of a smaller population which commonly survives radiation, while increased clonogenic capacity is a result of clonal competition of cells which have been selected stochastically. A 2-fold increase in radiation resistance results in a 4-fold (P < .05) higher deterministic clonal selection showing that the ratio of these parameters is amenable to radiation sensitivity which correlates to prognostic biomarkers of HNSCC. Evidence for the existence of a rare subpopulation with an intrinsically radiation resistant phenotype commonly surviving IR was found at a frequency of 0.6% to 3.3% (P < .001, FDR 3%). With cellular barcoding we introduce a novel functional heterogeneity associated qualitative readout for tracking dynamics of clonogenic survival in response to radiation. This enables the quantification of intrinsically radiation resistant tumor cells from patient samples and reveals the contribution of stochastic and deterministic clonal selection processes in response to IR.
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Affiliation(s)
- Anne Wursthorn
- Clinical Cooperation Unit Translational Radiation Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Department of Radiation Oncology, Heidelberg University Hospital (UKHD), National Center for Tumor Diseases (NCT), Heidelberg Institute of Radiation Oncology (HIRO), Heidelberg, Germany.,Heidelberg Ion-Beam Therapy Center (HIT), Heidelberg, Germany.,German Cancer Consortium (DKTK), Core Center, Heidelberg, Germany
| | - Christian Schwager
- Clinical Cooperation Unit Translational Radiation Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Department of Radiation Oncology, Heidelberg University Hospital (UKHD), National Center for Tumor Diseases (NCT), Heidelberg Institute of Radiation Oncology (HIRO), Heidelberg, Germany.,Heidelberg Ion-Beam Therapy Center (HIT), Heidelberg, Germany.,German Cancer Consortium (DKTK), Core Center, Heidelberg, Germany
| | - Ina Kurth
- German Cancer Consortium (DKTK), Core Center, Heidelberg, Germany.,Department of Radiooncology and Radiobiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Claudia Peitzsch
- OncoRay-National Center for Radiation Research in Oncology (NCRO), Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.,National Center for Tumor Diseases (NCT), Dresden, Germany.,German Cancer Consortium (DKTK), Partner Site Dresden, Dresden, Germany
| | - Christel Herold-Mende
- German Cancer Consortium (DKTK), Core Center, Heidelberg, Germany.,Department of Neurosurgery, Division of Experimental Neurosurgery, Heidelberg University Hospital, Heidelberg, Germany
| | - Jürgen Debus
- Clinical Cooperation Unit Translational Radiation Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Department of Radiation Oncology, Heidelberg University Hospital (UKHD), National Center for Tumor Diseases (NCT), Heidelberg Institute of Radiation Oncology (HIRO), Heidelberg, Germany.,Heidelberg Ion-Beam Therapy Center (HIT), Heidelberg, Germany.,German Cancer Consortium (DKTK), Core Center, Heidelberg, Germany
| | - Amir Abdollahi
- Clinical Cooperation Unit Translational Radiation Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Department of Radiation Oncology, Heidelberg University Hospital (UKHD), National Center for Tumor Diseases (NCT), Heidelberg Institute of Radiation Oncology (HIRO), Heidelberg, Germany.,Heidelberg Ion-Beam Therapy Center (HIT), Heidelberg, Germany.,German Cancer Consortium (DKTK), Core Center, Heidelberg, Germany
| | - Ali Nowrouzi
- Clinical Cooperation Unit Translational Radiation Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Department of Radiation Oncology, Heidelberg University Hospital (UKHD), National Center for Tumor Diseases (NCT), Heidelberg Institute of Radiation Oncology (HIRO), Heidelberg, Germany.,Heidelberg Ion-Beam Therapy Center (HIT), Heidelberg, Germany.,German Cancer Consortium (DKTK), Core Center, Heidelberg, Germany
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22
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Wang MY, Zhou Y, Lai GS, Huang Q, Cai WQ, Han ZW, Wang Y, Ma Z, Wang XW, Xiang Y, Fang SX, Peng XC, Xin HW. DNA barcode to trace the development and differentiation of cord blood stem cells (Review). Mol Med Rep 2021; 24:849. [PMID: 34643250 PMCID: PMC8524429 DOI: 10.3892/mmr.2021.12489] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Accepted: 09/15/2021] [Indexed: 12/05/2022] Open
Abstract
Umbilical cord blood transplantation was first reported in 1980. Since then, additional research has indicated that umbilical cord blood stem cells (UCBSCs) have various advantages, such as multi-lineage differentiation potential and potent renewal activity, which may be induced to promote their differentiation into a variety of seed cells for tissue engineering and the treatment of clinical and metabolic diseases. Recent studies suggested that UCBSCs are able to differentiate into nerve cells, chondrocytes, hepatocyte-like cells, fat cells and osteoblasts. The culture of UCBSCs has developed from feeder-layer to feeder-free culture systems. The classical techniques of cell labeling and tracing by gene transfection and fluorescent dye and nucleic acid analogs have evolved to DNA barcode technology mediated by transposon/retrovirus, cyclization recombination-recombinase and clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated protein 9 strategies. DNA barcoding for cell development tracing has advanced to include single cells and single nucleic acid mutations. In the present study, the latest research findings on the development and differentiation, culture techniques and labeling and tracing of UCBSCs are reviewed. The present study may increase the current understanding of UCBSC biology and its clinical applications.
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Affiliation(s)
- Mo-Yu Wang
- Laboratory of Oncology, Center for Molecular Medicine, School of Basic Medicine, Health Science Center, Yangtze University, Jingzhou, Hubei 434023, P.R. China
| | - Yang Zhou
- Laboratory of Oncology, Center for Molecular Medicine, School of Basic Medicine, Health Science Center, Yangtze University, Jingzhou, Hubei 434023, P.R. China
| | - Guang-Shun Lai
- Department of Digestive Medicine, People's Hospital of Lianjiang, Lianjiang, Guangdong 524400, P.R. China
| | - Qi Huang
- Laboratory of Oncology, Center for Molecular Medicine, School of Basic Medicine, Health Science Center, Yangtze University, Jingzhou, Hubei 434023, P.R. China
| | - Wen-Qi Cai
- Laboratory of Oncology, Center for Molecular Medicine, School of Basic Medicine, Health Science Center, Yangtze University, Jingzhou, Hubei 434023, P.R. China
| | - Zi-Wen Han
- Laboratory of Oncology, Center for Molecular Medicine, School of Basic Medicine, Health Science Center, Yangtze University, Jingzhou, Hubei 434023, P.R. China
| | - Yingying Wang
- Laboratory of Oncology, Center for Molecular Medicine, School of Basic Medicine, Health Science Center, Yangtze University, Jingzhou, Hubei 434023, P.R. China
| | - Zhaowu Ma
- Laboratory of Oncology, Center for Molecular Medicine, School of Basic Medicine, Health Science Center, Yangtze University, Jingzhou, Hubei 434023, P.R. China
| | - Xian-Wang Wang
- Laboratory of Oncology, Center for Molecular Medicine, School of Basic Medicine, Health Science Center, Yangtze University, Jingzhou, Hubei 434023, P.R. China
| | - Ying Xiang
- Laboratory of Oncology, Center for Molecular Medicine, School of Basic Medicine, Health Science Center, Yangtze University, Jingzhou, Hubei 434023, P.R. China
| | - Shu-Xian Fang
- State Key Laboratory of Respiratory Disease, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, Guangdong 510095, P.R. China
| | - Xiao-Chun Peng
- Laboratory of Oncology, Center for Molecular Medicine, School of Basic Medicine, Health Science Center, Yangtze University, Jingzhou, Hubei 434023, P.R. China
| | - Hong-Wu Xin
- Laboratory of Oncology, Center for Molecular Medicine, School of Basic Medicine, Health Science Center, Yangtze University, Jingzhou, Hubei 434023, P.R. China
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23
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Schuster E, Taftaf R, Reduzzi C, Albert MK, Romero-Calvo I, Liu H. Better together: circulating tumor cell clustering in metastatic cancer. Trends Cancer 2021; 7:1020-1032. [PMID: 34481763 PMCID: PMC8541931 DOI: 10.1016/j.trecan.2021.07.001] [Citation(s) in RCA: 93] [Impact Index Per Article: 31.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Revised: 07/11/2021] [Accepted: 07/13/2021] [Indexed: 01/30/2023]
Abstract
Circulating tumor cells (CTCs) are vital components of liquid biopsies for diagnosis of residual cancer, monitoring of therapy response, and prognosis of recurrence. Scientific dogma focuses on metastasis mediated by single CTCs, but advancement of CTC detection technologies has elucidated multicellular CTC clusters, which are associated with unfavorable clinical outcomes and a 20- to 100-fold greater metastatic potential than single CTCs. While the mechanistic understanding of CTC cluster formation is still in its infancy, multiple cell adhesion molecules and tight junction proteins have been identified that underlie the outperforming attributes of homotypic and heterotypic CTC clusters, such as cell survival, cancer stemness, and immune evasion. Future directions include high-resolution characterization of CTCs at multiomic levels for diagnostic/prognostic evaluations and targeted therapies.
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Affiliation(s)
- Emma Schuster
- Department of Pharmacology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA; Driskill Graduate Program in Life Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Rokana Taftaf
- Department of Pharmacology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA; Driskill Graduate Program in Life Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Carolina Reduzzi
- Division of Hematology and Oncology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Mary K Albert
- Biomedical Visualization Graduate Program, Department of Biomedical and Health Information Sciences, College of Applied Health Sciences, University of Illinois at Chicago, Chicago, IL, USA
| | - Isabel Romero-Calvo
- Biomedical Visualization Graduate Program, Department of Biomedical and Health Information Sciences, College of Applied Health Sciences, University of Illinois at Chicago, Chicago, IL, USA
| | - Huiping Liu
- Department of Pharmacology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA; Division of Hematology and Oncology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA; Lurie Comprehensive Cancer Center and Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
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24
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Breast cancer as an example of tumour heterogeneity and tumour cell plasticity during malignant progression. Br J Cancer 2021; 125:164-175. [PMID: 33824479 PMCID: PMC8292450 DOI: 10.1038/s41416-021-01328-7] [Citation(s) in RCA: 180] [Impact Index Per Article: 60.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2020] [Revised: 02/04/2021] [Accepted: 02/19/2021] [Indexed: 02/07/2023] Open
Abstract
Heterogeneity within a tumour increases its ability to adapt to constantly changing constraints, but adversely affects a patient's prognosis, therapy response and clinical outcome. Intratumoural heterogeneity results from a combination of extrinsic factors from the tumour microenvironment and intrinsic parameters from the cancer cells themselves, including their genetic, epigenetic and transcriptomic traits, their ability to proliferate, migrate and invade, and their stemness and plasticity attributes. Cell plasticity constitutes the ability of cancer cells to rapidly reprogramme their gene expression repertoire, to change their behaviour and identities, and to adapt to microenvironmental cues. These features also directly contribute to tumour heterogeneity and are critical for malignant tumour progression. In this article, we use breast cancer as an example of the origins of tumour heterogeneity (in particular, the mutational spectrum and clonal evolution of progressing tumours) and of tumour cell plasticity (in particular, that shown by tumour cells undergoing epithelial-to-mesenchymal transition), as well as considering interclonal cooperativity and cell plasticity as sources of cancer cell heterogeneity. We review current knowledge on the functional contribution of cell plasticity and tumour heterogeneity to malignant tumour progression, metastasis formation and therapy resistance.
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25
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Mustachio LM, Chelariu-Raicu A, Szekvolgyi L, Roszik J. Targeting KRAS in Cancer: Promising Therapeutic Strategies. Cancers (Basel) 2021; 13:1204. [PMID: 33801965 PMCID: PMC7999304 DOI: 10.3390/cancers13061204] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Accepted: 03/05/2021] [Indexed: 12/17/2022] Open
Abstract
The Kirsten rat sarcoma viral oncogene homolog (KRAS) is mutated in approximately 25% of all human cancers and is known to be a major player promoting and maintaining tumorigenesis through the RAS/MAPK pathway. Over the years, a large number of studies have identified strategies at different regulatory levels to tackle this 'difficult-to-target' oncoprotein. Yet, the most ideal strategy to overcome KRAS and its downstream effects has yet to be uncovered. This review summarizes the role of KRAS activating mutations in multiple cancer types as well as the key findings for potential strategies inhibiting its oncogenic behavior. A comprehensive analysis of the different pathways and mechanisms associated with KRAS activity in tumors will ultimately pave the way for promising future work that will identify optimum therapeutic strategies.
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Affiliation(s)
- Lisa Maria Mustachio
- Department of Epigenetics and Molecular Carcinogenesis, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Center for Cancer Epigenetics, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Anca Chelariu-Raicu
- Department of Obstetrics and Gynecology, University Hospital, Ludwig Maximilian University of Munich, 80539 Munich, Germany;
| | - Lorant Szekvolgyi
- Genome Architecture and Recombination Research Group, Department of Biochemistry and Molecular Biology, MTA-DE Momentum, Faculty of Medicine, University of Debrecen, 4002 Debrecen, Hungary;
| | - Jason Roszik
- Department of Genomic Medicine, Division of Cancer Medicine, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Department of Melanoma Medical Oncology, Division of Cancer Medicine, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
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26
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Dekkers JF, Whittle JR, Vaillant F, Chen HR, Dawson C, Liu K, Geurts MH, Herold MJ, Clevers H, Lindeman GJ, Visvader JE. Modeling Breast Cancer Using CRISPR-Cas9-Mediated Engineering of Human Breast Organoids. J Natl Cancer Inst 2021; 112:540-544. [PMID: 31589320 DOI: 10.1093/jnci/djz196] [Citation(s) in RCA: 104] [Impact Index Per Article: 34.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2019] [Revised: 09/04/2019] [Accepted: 09/20/2019] [Indexed: 12/14/2022] Open
Abstract
Breast cancer is characterized by histological and functional heterogeneity, posing a clinical challenge for patient treatment. Emerging evidence suggests that the distinct subtypes reflect the repertoire of genetic alterations and the target cell. However, the precise initiating events that predispose normal epithelium to neoplasia are poorly understood. Here, we demonstrate that breast epithelial organoids can be generated from human reduction mammoplasties (12 out of 12 donors), thus creating a tool to study the clonal evolution of breast cancer. To recapitulate de novo oncogenesis, we exploited clustered regularly interspaced short palindromic repeats (CRISPR)-Cas9 for targeted knockout of four breast cancer-associated tumor suppressor genes (P53, PTEN, RB1, NF1) in mammary progenitor cells from six donors. Mutant organoids gained long-term culturing capacity and formed estrogen-receptor positive luminal tumors on transplantation into mice for one out of six P53/PTEN/RB1-mutated and three out of six P53/PTEN/RB1/NF1-mutated lines. These organoids responded to endocrine therapy or chemotherapy, supporting the potential utility of this model to enhance our understanding of the molecular events that culminate in specific subtypes of breast cancer.
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Affiliation(s)
- Johanna F Dekkers
- ACRF Cancer Biology and Stem Cells Division.,The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia; Department of Medical Biology
| | - James R Whittle
- ACRF Cancer Biology and Stem Cells Division.,The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia; Department of Medical Biology.,Department of Medicine (GHL), The University of Melbourne, Parkville, VIC, Australia; Department of Medical Oncology, The Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - François Vaillant
- ACRF Cancer Biology and Stem Cells Division.,The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia; Department of Medical Biology
| | - Huei-Rong Chen
- ACRF Cancer Biology and Stem Cells Division.,The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia; Department of Medical Biology
| | - Caleb Dawson
- ACRF Cancer Biology and Stem Cells Division.,The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia; Department of Medical Biology
| | - Kevin Liu
- ACRF Cancer Biology and Stem Cells Division.,The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia; Department of Medical Biology
| | - Maarten H Geurts
- Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences (KNAW) University Medical Center Utrecht, Utrecht, the Netherlands.,Department of Cancer Research, Oncode Institute, Hubrecht Institute-KNAW Utrecht, Utrecht, the Netherlands
| | - Marco J Herold
- Blood Cells and Blood Cancer Division.,The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia; Department of Medical Biology
| | - Hans Clevers
- Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences (KNAW) University Medical Center Utrecht, Utrecht, the Netherlands.,Department of Cancer Research, Oncode Institute, Hubrecht Institute-KNAW Utrecht, Utrecht, the Netherlands.,Cancer Genomics Center, Utrecht, the Netherlands
| | - Geoffrey J Lindeman
- ACRF Cancer Biology and Stem Cells Division.,Department of Medicine (GHL), The University of Melbourne, Parkville, VIC, Australia; Department of Medical Oncology, The Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Jane E Visvader
- ACRF Cancer Biology and Stem Cells Division.,The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia; Department of Medical Biology
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27
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Lefort S, Balani S, Pellacani D, Guyot B, Gorski SM, Maguer-Satta V, Eaves CJ. Single-cell analysis of autophagy activity in normal and de novo transformed human mammary cells. Sci Rep 2020; 10:20266. [PMID: 33219251 PMCID: PMC7679376 DOI: 10.1038/s41598-020-77347-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2020] [Accepted: 10/07/2020] [Indexed: 12/19/2022] Open
Abstract
Assessment of autophagy activity has historically been limited to investigations of fixed tissue or bulk cell populations. To address questions of heterogeneity and relate measurements to functional properties of viable cells isolated from primary tissue, we created a lentiviral (RFP-GFP-MAP1LC3B) vector that allows the autophagosome and autolysosome content of transduced cells to be monitored at the single-cell level. Use of this strategy to analyze purified subsets of normal human mammary cells showed that both the luminal progenitor-containing (LP) subset and the basal cells (BCs) display highly variable but overall similar autophagic flux activity despite differences suggested by measurements of the proteins responsible (i.e., LC3B, ATG7 and BECLIN1) in bulk lysates. Autophagosome content was also highly variable in the clonogenic cells within both the LPs and BCs, but the proliferative response of the BCs was more sensitive to autophagy inhibition. In addition, use of this vector showed cells with the lowest autophagosome content elicited the fastest tumor growth in 2 different models of human mammary tumorigenesis. These results illustrate the utility of this vector to define differences in the autophagy properties of individual cells in primary tissue and couple these with their responses to proliferative and oncogenic stimuli.
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Affiliation(s)
- Sylvain Lefort
- Terry Fox Laboratory, BC Cancer Agency, 675 West 10th Avenue, Vancouver, BC, V5Z 1L3, Canada. .,Centre de Recherche en Cancérologie de LyonInserm U1052-CNRS UMR5286, Centre Léon Bérard, Lyon, France.
| | - Sneha Balani
- Terry Fox Laboratory, BC Cancer Agency, 675 West 10th Avenue, Vancouver, BC, V5Z 1L3, Canada
| | - Davide Pellacani
- Terry Fox Laboratory, BC Cancer Agency, 675 West 10th Avenue, Vancouver, BC, V5Z 1L3, Canada
| | - Boris Guyot
- Centre de Recherche en Cancérologie de LyonInserm U1052-CNRS UMR5286, Centre Léon Bérard, Lyon, France
| | - Sharon M Gorski
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, BC, Canada
| | - Véronique Maguer-Satta
- Centre de Recherche en Cancérologie de LyonInserm U1052-CNRS UMR5286, Centre Léon Bérard, Lyon, France
| | - Connie J Eaves
- Terry Fox Laboratory, BC Cancer Agency, 675 West 10th Avenue, Vancouver, BC, V5Z 1L3, Canada
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28
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Gu SS, Wang X, Hu X, Jiang P, Li Z, Traugh N, Bu X, Tang Q, Wang C, Zeng Z, Fu J, Meyer C, Zhang Y, Cejas P, Lim K, Wang J, Zhang W, Tokheim C, Sahu AD, Xing X, Kroger B, Ouyang Z, Long H, Freeman GJ, Brown M, Liu XS. Clonal tracing reveals diverse patterns of response to immune checkpoint blockade. Genome Biol 2020; 21:263. [PMID: 33059736 PMCID: PMC7559192 DOI: 10.1186/s13059-020-02166-1] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Accepted: 09/15/2020] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND Immune checkpoint blockade (ICB) therapy has improved patient survival in a variety of cancers, but only a minority of cancer patients respond. Multiple studies have sought to identify general biomarkers of ICB response, but elucidating the molecular and cellular drivers of resistance for individual tumors remains challenging. We sought to determine whether a tumor with defined genetic background exhibits a stereotypic or heterogeneous response to ICB treatment. RESULTS We establish a unique mouse system that utilizes clonal tracing and mathematical modeling to monitor the growth of each cancer clone, as well as the bulk tumor, in response to ICB. We find that tumors derived from the same clonal populations showed heterogeneous ICB response and diverse response patterns. Primary response is associated with higher immune infiltration and leads to enrichment of pre-existing ICB-resistant cancer clones. We further identify several cancer cell-intrinsic gene expression signatures associated with ICB resistance, including increased interferon response genes and glucocorticoid response genes. These findings are supported by clinical data from ICB treatment cohorts. CONCLUSIONS Our study demonstrates diverse response patterns from the same ancestor cancer cells in response to ICB. This suggests the value of monitoring clonal constitution and tumor microenvironment over time to optimize ICB response and to design new combination therapies. Furthermore, as ICB response may enrich for cancer cell-intrinsic resistance signatures, this can affect interpretations of tumor RNA-seq data for response-signature association studies.
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Affiliation(s)
- Shengqing Stan Gu
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, 02215, USA
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Xiaoqing Wang
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Harvard Medical School, Boston, MA, 02115, USA
| | - Xihao Hu
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, 02215, USA
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Peng Jiang
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, 02215, USA
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Ziyi Li
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Clinical Translational Research Center, Shanghai Pulmonary Hospital, School of Life Science and Technology, Tongji University, Shanghai, 200433, China
| | - Nicole Traugh
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, 02215, USA
| | - Xia Bu
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Harvard Medical School, Boston, MA, 02115, USA
| | - Qin Tang
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Harvard Medical School, Boston, MA, 02115, USA
| | - Chenfei Wang
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, 02215, USA
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Zexian Zeng
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, 02215, USA
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Jingxin Fu
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Clinical Translational Research Center, Shanghai Pulmonary Hospital, School of Life Science and Technology, Tongji University, Shanghai, 200433, China
| | - Cliff Meyer
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, 02215, USA
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Yi Zhang
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, 02215, USA
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Paloma Cejas
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Klothilda Lim
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Jin Wang
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Clinical Translational Research Center, Shanghai Pulmonary Hospital, School of Life Science and Technology, Tongji University, Shanghai, 200433, China
| | - Wubing Zhang
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Clinical Translational Research Center, Shanghai Pulmonary Hospital, School of Life Science and Technology, Tongji University, Shanghai, 200433, China
| | - Collin Tokheim
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, 02215, USA
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Avinash Das Sahu
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, 02215, USA
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Xiaofang Xing
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Division of Gastrointestinal Cancer Translational Research Laboratory, Peking University Cancer Hospital & Institute, Beijing, 100142, China
| | - Benjamin Kroger
- University of Texas Southwestern Medical School, Dallas, TX, 75390, USA
| | - Zhangyi Ouyang
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Henry Long
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Gordon J Freeman
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
- Harvard Medical School, Boston, MA, 02115, USA.
| | - Myles Brown
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
- Harvard Medical School, Boston, MA, 02115, USA.
| | - X Shirley Liu
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, 02215, USA.
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
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29
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Tiede S, Kalathur RKR, Lüönd F, von Allmen L, Szczerba BM, Hess M, Vlajnic T, Müller B, Canales Murillo J, Aceto N, Christofori G. Multi-color clonal tracking reveals intra-stage proliferative heterogeneity during mammary tumor progression. Oncogene 2020; 40:12-27. [PMID: 33046799 DOI: 10.1038/s41388-020-01508-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Revised: 08/20/2020] [Accepted: 10/02/2020] [Indexed: 12/20/2022]
Abstract
Despite major progress in breast cancer research, the functional contribution of distinct cancer cell clones to malignant tumor progression and metastasis remains largely elusive. We have assessed clonal heterogeneity within individual primary tumors and metastases and also during the distinct stages of malignant tumor progression using clonal tracking of cancer cells in the MMTV-PyMT mouse model of metastatic breast cancer. Comparative gene expression analysis of clonal subpopulations reveals a substantial level of heterogeneity across and also within the various stages of breast carcinogenesis. The intra-stage heterogeneity is primarily manifested by differences in cell proliferation, also found within invasive carcinomas of luminal A-, luminal B-, and HER2-enriched human breast cancer. Surprisingly, in the mouse model of clonal tracing of cancer cells, chemotherapy mainly targets the slow-proliferative clonal populations and fails to efficiently repress the fast-proliferative populations. These insights may have considerable impact on therapy selection and response in breast cancer patients.
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Affiliation(s)
- Stefanie Tiede
- Department of Biomedicine, University of Basel, 4058, Basel, Switzerland.
| | - Ravi Kiran Reddy Kalathur
- Department of Biomedicine, University of Basel, 4058, Basel, Switzerland.,Swiss Institute of Bioinformatics, 4053, Basel, Switzerland
| | - Fabiana Lüönd
- Department of Biomedicine, University of Basel, 4058, Basel, Switzerland
| | - Luca von Allmen
- Department of Biomedicine, University of Basel, 4058, Basel, Switzerland
| | | | - Mathias Hess
- Department of Biomedicine, University of Basel, 4058, Basel, Switzerland
| | - Tatjana Vlajnic
- Institute of Pathology, University Hospital Basel, 4031, Basel, Switzerland
| | - Benjamin Müller
- Department of Biomedicine, University of Basel, 4058, Basel, Switzerland
| | | | - Nicola Aceto
- Department of Biomedicine, University of Basel, 4058, Basel, Switzerland
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30
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Adaptation and selection shape clonal evolution of tumors during residual disease and recurrence. Nat Commun 2020; 11:5017. [PMID: 33024122 PMCID: PMC7539014 DOI: 10.1038/s41467-020-18730-z] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2019] [Accepted: 09/09/2020] [Indexed: 12/29/2022] Open
Abstract
The survival and recurrence of residual tumor cells following therapy constitutes one of the biggest obstacles to obtaining cures in breast cancer, but it remains unclear how the clonal composition of tumors changes during relapse. We use cellular barcoding to monitor clonal dynamics during tumor recurrence in vivo. We find that clonal diversity decreases during tumor regression, residual disease, and recurrence. The recurrence of dormant residual cells follows several distinct routes. Approximately half of the recurrent tumors exhibit clonal dominance with a small number of subclones comprising the vast majority of the tumor; these clonal recurrences are frequently dependent upon Met gene amplification. A second group of recurrent tumors comprises thousands of subclones, has a clonal architecture similar to primary tumors, and is dependent upon the Jak/Stat pathway. Thus the regrowth of dormant tumors proceeds via multiple routes, producing recurrent tumors with distinct clonal composition, genetic alterations, and drug sensitivities. The cellular composition of recurrent tumors can provide insight into resistance to therapy and inform on second line therapies. Here, using a genetically modified mouse, the authors perform barcoding experiments of the primary tumors to allow them to study the clonal dynamics of tumor recurrence.
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Thielecke L, Cornils K, Glauche I. genBaRcode: a comprehensive R-package for genetic barcode analysis. Bioinformatics 2020; 36:2189-2194. [PMID: 31782763 DOI: 10.1093/bioinformatics/btz872] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2019] [Revised: 11/06/2019] [Accepted: 11/27/2019] [Indexed: 02/07/2023] Open
Abstract
MOTIVATION Genetic barcodes have been established as an efficient method to trace clonal progeny of uniquely labeled cells by introducing artificial genetic sequences into the corresponding genomes. The assessment of those sequences relies on next generation sequencing and the subsequent analysis aiming to identify sequences of interest and correctly quantifying their abundance. RESULTS We developed the genBaRcode package as a toolbox combining the flexibility of digesting next generation sequencing reads with or without a sophisticated barcode structure, with a variety of error-correction approaches and the availability of several types of visualization routines. Furthermore, a graphical user interface was incorporated to allow also less experienced R users package-based analyses. Finally, the provided tool is intended to bridge the gap between generating and analyzing barcode data and thereby supporting the establishment of standardized and reproducible analysis strategies. AVAILABILITY AND IMPLEMENTATION The genBaRcode package is available at CRAN (https://cran.r-project.org/package=genBaRcode).
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Affiliation(s)
- Lars Thielecke
- Institute for Medical Informatics and Biometry, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden 01307, Germany
| | - Kerstin Cornils
- Division of Pediatric Stem Cell Transplantation and Immunology and Research Institute, Department of Pediatric Hematology and Oncology, Children's Cancer Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg 20246, Germany
| | - Ingmar Glauche
- Institute for Medical Informatics and Biometry, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden 01307, Germany
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Comprehensive characterization of claudin-low breast tumors reflects the impact of the cell-of-origin on cancer evolution. Nat Commun 2020; 11:3431. [PMID: 32647202 PMCID: PMC7347884 DOI: 10.1038/s41467-020-17249-7] [Citation(s) in RCA: 54] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2019] [Accepted: 06/22/2020] [Indexed: 12/20/2022] Open
Abstract
Claudin-low breast cancers are aggressive tumors defined by the low expression of key components of cellular junctions, associated with mesenchymal and stemness features. Although they are generally considered as the most primitive breast malignancies, their histogenesis remains elusive. Here we show that this molecular subtype of breast cancers exhibits a significant diversity, comprising three main subgroups that emerge from unique evolutionary processes. Genetic, gene methylation and gene expression analyses reveal that two of the subgroups relate, respectively, to luminal breast cancers and basal-like breast cancers through the activation of an EMT process over the course of tumor progression. The third subgroup is closely related to normal human mammary stem cells. This unique subgroup of breast cancers shows a paucity of genomic aberrations and a low frequency of TP53 mutations, supporting the emerging notion that the intrinsic properties of the cell-of-origin constitute a major determinant of the genetic history of tumorigenesis.
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33
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Toran PT, Wohlfahrt M, Foye J, Kiem HP, Wojchowski DM. Assessment and streamlined preparation of low-cytotoxicity lentiviral vectors for mobilized human hematopoietic stem cell transduction. Exp Hematol 2020; 86:28-42.e3. [PMID: 32473295 DOI: 10.1016/j.exphem.2020.05.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2019] [Revised: 05/18/2020] [Accepted: 05/19/2020] [Indexed: 11/29/2022]
Abstract
As important vectors for ectopic protein expression, gene silencing, and progenitor cell barcoding, lentiviruses continue to emerge as versatile research and clinical tools. For studies employing cell types that are relatively resistant to transduction, high-titer lentivirus preparations with low cytotoxicity are required. During lentivirus production, carryover plasmid DNA endotoxins, transfection reagents, damaged packaging cells, and virus concentration procedures are potential sources of cytotoxicity. As an often unevaluated property of lentivirus preparations, cytotoxicity can unwittingly skew estimates of functional titers and complicate interpretations of transduced cell phenotypes. By employing hematopoietic UT7epo cells cultured in erythropoietin (EPO) below maximal dosing, we first define a sensitive flow cytometric bioassay for critically assessing the cytotoxicity (and titers) of lentivirus preparations. Bioassay of custom preparations of research-grade lentiviruses from six commercial sources unexpectedly revealed substantial cytotoxicity (with certain preparations additionally registering titers several log below designated values). To overcome such limiting properties, we further report on unique, efficient workflows for reproducibly preparing and processing high-titer, low-cytotoxicity (HTLC) lentiviruses at research scale. These HTLC lentiviruses reliably transduce peripheral blood hematopoietic stem/progenitor cells (PB-HSPCs) at frequencies ≥40%, with low cytotoxicity. In addition, by employing cyclosporin H (to inhibit IFITM3), PB-HSPCs can be transduced at heightened efficiency with nominal cytotoxicity. Overall, this work provides straightforward approaches to (1) critical assessment of the cytotoxicity of lentivirus preparations; (2) reproducible generation (and concentration) of high-quality lentiviruses via a streamlined workflow; and (3) transduction of PB-HSPCs at benchmark levels with nominal cytotoxicity.
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Affiliation(s)
- Paul T Toran
- Department of Molecular, Cellular and Biomedical Sciences, University of New Hampshire, Durham, NH
| | | | - Julia Foye
- Department of Molecular, Cellular and Biomedical Sciences, University of New Hampshire, Durham, NH
| | | | - Don M Wojchowski
- Department of Molecular, Cellular and Biomedical Sciences, University of New Hampshire, Durham, NH.
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Bramlett C, Jiang D, Nogalska A, Eerdeng J, Contreras J, Lu R. Clonal tracking using embedded viral barcoding and high-throughput sequencing. Nat Protoc 2020; 15:1436-1458. [PMID: 32132718 PMCID: PMC7427513 DOI: 10.1038/s41596-019-0290-z] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2018] [Accepted: 12/21/2019] [Indexed: 11/09/2022]
Abstract
Embedded viral barcoding in combination with high-throughput sequencing is a powerful technology with which to track single-cell clones. It can provide clonal-level insights into cellular proliferation, development, differentiation, migration, and treatment efficacy. Here, we present a detailed protocol for a viral barcoding procedure that includes the creation of barcode libraries, the viral delivery of barcodes, the recovery of barcodes, and the computational analysis of barcode sequencing data. The entire procedure can be completed within a few weeks. This barcoding method requires cells to be susceptible to viral transduction. It provides high sensitivity and throughput, and enables precise quantification of cellular progeny. It is cost efficient and does not require any advanced skills. It can also be easily adapted to many types of applications, including both in vitro and in vivo experiments.
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Affiliation(s)
- Charles Bramlett
- Eli and Edythe Broad CIRM Center for Regenerative Medicine and Stem Cell Research, Keck School of Medicine, University of Southern California, Los Angeles, Los Angeles, CA, USA
| | - Du Jiang
- Eli and Edythe Broad CIRM Center for Regenerative Medicine and Stem Cell Research, Keck School of Medicine, University of Southern California, Los Angeles, Los Angeles, CA, USA
| | - Anna Nogalska
- Eli and Edythe Broad CIRM Center for Regenerative Medicine and Stem Cell Research, Keck School of Medicine, University of Southern California, Los Angeles, Los Angeles, CA, USA
| | - Jiya Eerdeng
- Eli and Edythe Broad CIRM Center for Regenerative Medicine and Stem Cell Research, Keck School of Medicine, University of Southern California, Los Angeles, Los Angeles, CA, USA
| | - Jorge Contreras
- Eli and Edythe Broad CIRM Center for Regenerative Medicine and Stem Cell Research, Keck School of Medicine, University of Southern California, Los Angeles, Los Angeles, CA, USA
| | - Rong Lu
- Eli and Edythe Broad CIRM Center for Regenerative Medicine and Stem Cell Research, Keck School of Medicine, University of Southern California, Los Angeles, Los Angeles, CA, USA.
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Trabert B, Sherman ME, Kannan N, Stanczyk FZ. Progesterone and Breast Cancer. Endocr Rev 2020; 41:5568276. [PMID: 31512725 PMCID: PMC7156851 DOI: 10.1210/endrev/bnz001] [Citation(s) in RCA: 102] [Impact Index Per Article: 25.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2018] [Accepted: 09/06/2019] [Indexed: 12/31/2022]
Abstract
Synthetic progestogens (progestins) have been linked to increased breast cancer risk; however, the role of endogenous progesterone in breast physiology and carcinogenesis is less clearly defined. Mechanistic studies using cell culture, tissue culture, and preclinical models implicate progesterone in breast carcinogenesis. In contrast, limited epidemiologic data generally do not show an association of circulating progesterone levels with risk, and it is unclear whether this reflects methodologic limitations or a truly null relationship. Challenges related to defining the role of progesterone in breast physiology and neoplasia include: complex interactions with estrogens and other hormones (eg, androgens, prolactin, etc.), accounting for timing of blood collections for hormone measurements among cycling women, and limitations of assays to measure progesterone metabolites in blood and progesterone receptor isotypes (PRs) in tissues. Separating the individual effects of estrogens and progesterone is further complicated by the partial dependence of PR transcription on estrogen receptor (ER)α-mediated transcriptional events; indeed, interpreting the integrated interaction of the hormones may be more essential than isolating independent effects. Further, many of the actions of both estrogens and progesterone, particularly in "normal" breast tissues, are driven by paracrine mechanisms in which ligand binding to receptor-positive cells evokes secretion of factors that influence cell division of neighboring receptor-negative cells. Accordingly, blood and tissue levels may differ, and the latter are challenging to measure. Given conflicting data related to the potential role of progesterone in breast cancer etiology and interest in blocking progesterone action to prevent or treat breast cancer, we provide a review of the evidence that links progesterone to breast cancer risk and suggest future directions for filling current gaps in our knowledge.
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Affiliation(s)
- Britton Trabert
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, Maryland
| | - Mark E Sherman
- Health Sciences Research, Mayo Clinic, Jacksonville, Florida
| | - Nagarajan Kannan
- Laboratory of Stem Cell and Cancer Biology, Division of Experimental Pathology and Laboratory Medicine, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
| | - Frank Z Stanczyk
- Departments of Obstetrics and Gynecology, and Preventive Medicine, University of Southern California Keck School of Medicine, Los Angeles, California
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36
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Testa U, Castelli G, Pelosi E. Breast Cancer: A Molecularly Heterogenous Disease Needing Subtype-Specific Treatments. Med Sci (Basel) 2020; 8:E18. [PMID: 32210163 PMCID: PMC7151639 DOI: 10.3390/medsci8010018] [Citation(s) in RCA: 56] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2019] [Revised: 02/23/2020] [Accepted: 03/11/2020] [Indexed: 12/12/2022] Open
Abstract
Breast cancer is the most commonly occurring cancer in women. There were over two-million new cases in world in 2018. It is the second leading cause of death from cancer in western countries. At the molecular level, breast cancer is a heterogeneous disease, which is characterized by high genomic instability evidenced by somatic gene mutations, copy number alterations, and chromosome structural rearrangements. The genomic instability is caused by defects in DNA damage repair, transcription, DNA replication, telomere maintenance and mitotic chromosome segregation. According to molecular features, breast cancers are subdivided in subtypes, according to activation of hormone receptors (estrogen receptor and progesterone receptor), of human epidermal growth factors receptor 2 (HER2), and or BRCA mutations. In-depth analyses of the molecular features of primary and metastatic breast cancer have shown the great heterogeneity of genetic alterations and their clonal evolution during disease development. These studies have contributed to identify a repertoire of numerous disease-causing genes that are altered through different mutational processes. While early-stage breast cancer is a curable disease in about 70% of patients, advanced breast cancer is largely incurable. However, molecular studies have contributed to develop new therapeutic approaches targeting HER2, CDK4/6, PI3K, or involving poly(ADP-ribose) polymerase inhibitors for BRCA mutation carriers and immunotherapy.
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Affiliation(s)
- Ugo Testa
- Department of Oncology, Istituto Superiore di Sanità, Regina Elena 299, 00161 Rome, Italy; (G.C.); (E.P.)
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Vetrie D, Helgason GV, Copland M. The leukaemia stem cell: similarities, differences and clinical prospects in CML and AML. Nat Rev Cancer 2020; 20:158-173. [PMID: 31907378 DOI: 10.1038/s41568-019-0230-9] [Citation(s) in RCA: 160] [Impact Index Per Article: 40.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/20/2019] [Indexed: 01/21/2023]
Abstract
For two decades, leukaemia stem cells (LSCs) in chronic myeloid leukaemia (CML) and acute myeloid leukaemia (AML) have been advanced paradigms for the cancer stem cell field. In CML, the acquisition of the fusion tyrosine kinase BCR-ABL1 in a haematopoietic stem cell drives its transformation to become a LSC. In AML, LSCs can arise from multiple cell types through the activity of a number of oncogenic drivers and pre-leukaemic events, adding further layers of context and genetic and cellular heterogeneity to AML LSCs not observed in most cases of CML. Furthermore, LSCs from both AML and CML can be refractory to standard-of-care therapies and persist in patients, diversify clonally and serve as reservoirs to drive relapse, recurrence or progression to more aggressive forms. Despite these complexities, LSCs in both diseases share biological features, making them distinct from other CML or AML progenitor cells and from normal haematopoietic stem cells. These features may represent Achilles' heels against which novel therapies can be developed. Here, we review many of the similarities and differences that exist between LSCs in CML and AML and examine the therapeutic strategies that could be used to eradicate them.
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MESH Headings
- Animals
- Biomarkers, Tumor
- Cell Transformation, Neoplastic/genetics
- Cell Transformation, Neoplastic/immunology
- Cell Transformation, Neoplastic/metabolism
- Disease Management
- Disease Susceptibility
- Drug Development
- History, 20th Century
- History, 21st Century
- Humans
- Leukemia, Myelogenous, Chronic, BCR-ABL Positive/diagnosis
- Leukemia, Myelogenous, Chronic, BCR-ABL Positive/etiology
- Leukemia, Myelogenous, Chronic, BCR-ABL Positive/metabolism
- Leukemia, Myelogenous, Chronic, BCR-ABL Positive/therapy
- Leukemia, Myeloid, Acute/diagnosis
- Leukemia, Myeloid, Acute/etiology
- Leukemia, Myeloid, Acute/metabolism
- Leukemia, Myeloid, Acute/therapy
- Molecular Targeted Therapy
- Neoplastic Stem Cells/drug effects
- Neoplastic Stem Cells/metabolism
- Neoplastic Stem Cells/pathology
- Research/history
- Research/trends
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Affiliation(s)
- David Vetrie
- Wolfson Wohl Cancer Research Centre, Institute of Cancer Sciences, University of Glasgow, Glasgow, UK.
| | - G Vignir Helgason
- Wolfson Wohl Cancer Research Centre, Institute of Cancer Sciences, University of Glasgow, Glasgow, UK
| | - Mhairi Copland
- Paul O'Gorman Leukaemia Research Centre, Institute of Cancer Sciences, University of Glasgow, Glasgow, UK.
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38
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Akimov Y, Bulanova D, Timonen S, Wennerberg K, Aittokallio T. Improved detection of differentially represented DNA barcodes for high-throughput clonal phenomics. Mol Syst Biol 2020; 16:e9195. [PMID: 32187448 PMCID: PMC7080434 DOI: 10.15252/msb.20199195] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2019] [Revised: 02/13/2020] [Accepted: 02/17/2020] [Indexed: 12/14/2022] Open
Abstract
Cellular DNA barcoding has become a popular approach to study heterogeneity of cell populations and to identify clones with differential response to cellular stimuli. However, there is a lack of reliable methods for statistical inference of differentially responding clones. Here, we used mixtures of DNA-barcoded cell pools to generate a realistic benchmark read count dataset for modelling a range of outcomes of clone-tracing experiments. By accounting for the statistical properties intrinsic to the DNA barcode read count data, we implemented an improved algorithm that results in a significantly lower false-positive rate, compared to current RNA-seq data analysis algorithms, especially when detecting differentially responding clones in experiments with strong selection pressure. Building on the reliable statistical methodology, we illustrate how multidimensional phenotypic profiling enables one to deconvolute phenotypically distinct clonal subpopulations within a cancer cell line. The mixture control dataset and our analysis results provide a foundation for benchmarking and improving algorithms for clone-tracing experiments.
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Affiliation(s)
- Yevhen Akimov
- Institute for Molecular Medicine Finland (FIMM)HiLIFEUniversity of HelsinkiHelsinkiFinland
| | - Daria Bulanova
- Institute for Molecular Medicine Finland (FIMM)HiLIFEUniversity of HelsinkiHelsinkiFinland
- Biotech Research and Innovation Centre (BRIC) and Novo Nordisk Foundation Center for Stem Cell Biology (DanStem)University of CopenhagenCopenhagenDenmark
| | - Sanna Timonen
- Institute for Molecular Medicine Finland (FIMM)HiLIFEUniversity of HelsinkiHelsinkiFinland
| | - Krister Wennerberg
- Institute for Molecular Medicine Finland (FIMM)HiLIFEUniversity of HelsinkiHelsinkiFinland
- Biotech Research and Innovation Centre (BRIC) and Novo Nordisk Foundation Center for Stem Cell Biology (DanStem)University of CopenhagenCopenhagenDenmark
| | - Tero Aittokallio
- Institute for Molecular Medicine Finland (FIMM)HiLIFEUniversity of HelsinkiHelsinkiFinland
- Department of Mathematics and StatisticsUniversity of TurkuTurkuFinland
- Department of Cancer GeneticsInstitute for Cancer ResearchOslo University HospitalOsloNorway
- Oslo Centre for Biostatistics and Epidemiology (OCBE)Faculty of MedicineUniversity of OsloOsloNorway
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39
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Initiation of human mammary cell tumorigenesis by mutant KRAS requires YAP inactivation. Oncogene 2019; 39:1957-1968. [PMID: 31772328 PMCID: PMC7044112 DOI: 10.1038/s41388-019-1111-0] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2018] [Revised: 05/14/2019] [Accepted: 05/27/2019] [Indexed: 01/13/2023]
Abstract
High YAP activity is associated with poor prognosis human breast cancers, but its role during the initial stage of mammary cell transformation is unknown. To address this question, we designed experiments that exploit the ability of KRASG12D-transduced subsets of freshly isolated normal human mammary cells to form invasive tumors rapidly and efficiently when transplanted into immunodeficient mice. Initial examination of the newly developing tumors thus generated revealed a consistent marked loss of nuclear YAP, independent of the initial primary human mammary cell type transduced. Conversely, co-transduction of the same subsets of primary human mammary cells with KRASG12D plus the constitutively active YAPS127A prevented tumor formation. These findings contrast with the enhanced display of transformed properties obtained when the immortalized, but non-tumorigenic MCF10A cells are transduced just with YAPS127A. In addition, we show that YAPS127A-transduction of the human MDA-MB-231 breast cancer cell line (that carry a similar KRAS mutation) enhances their metastatic activity in vivo. We also discover that the KRASG12D-induced early loss of YAP in primary human mammary cells is associated with their induced secretion of amphiregulin. Collectively, these findings suggest that YAP can differentially affect the acquisition of malignant properties by human mammary cells at different stages of their transformation.
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40
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Abstract
Oncogenic activation of RAS isoforms leads tumor initiation and progression in many types of cancers and is gaining increasing interest as target for novel therapeutic strategies. In sharp contrast with other types of cancer, the importance of RAS in breast tumorigenesis has long been undermined by the low frequency of its oncogenic mutation in human breast lesions. Nevertheless, a wealth of studies over the last years have revealed how the engagement of RAS function might be mandatory downstream varied oncogenic alterations for the progression, metastatic dissemination, and therapy resistance in breast cancers. We review herein the major studies over the last three decades which have explored the controversial role of RAS proteins and their mutation status in breast tumorigenesis and have contributed to reveal their role as supporting actors, instead of as primary cause, in breast cancer.
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Affiliation(s)
- Mirco Galiè
- Department of Neuroscience, Biomedicine and Movement, University of Verona, Verona, Italy
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41
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Sato K, Shimokawa T, Imai T. Difference in Acquired Radioresistance Induction Between Repeated Photon and Particle Irradiation. Front Oncol 2019; 9:1213. [PMID: 31799186 PMCID: PMC6863406 DOI: 10.3389/fonc.2019.01213] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2019] [Accepted: 10/23/2019] [Indexed: 12/21/2022] Open
Abstract
In recent years, advanced radiation therapy techniques, including stereotactic body radiotherapy and carbon–ion radiotherapy, have progressed to such an extent that certain types of cancer can be treated with radiotherapy alone. The therapeutic outcomes are particularly promising for early stage lung cancer, with results matching those of surgical resection. Nevertheless, patients may still experience local tumor recurrence, which might be exacerbated by the acquisition of radioresistance after primary radiotherapy. Notwithstanding the risk of tumors acquiring radioresistance, secondary radiotherapy is increasingly used to treat recurrent tumors. In this context, it appears essential to comprehend the radiobiological effects of repeated photon and particle irradiation and their underlying cellular and molecular mechanisms in order to achieve the most favorable therapeutic outcome. However, to date, the mechanisms of acquisition of radioresistance in cancer cells have mainly been studied after repeated in vitro X-ray irradiation. By contrast, other critical aspects of radioresistance remain mostly unexplored, including the response to carbon-ion irradiation of X-ray radioresistant cancer cells, the mechanisms of acquisition of carbon-ion resistance, and the consequences of repeated in vivo X-ray or carbon-ion irradiation. In this review, we discuss the underlying mechanisms of acquisition of X-ray and carbon-ion resistance in cancer cells, as well as the phenotypic differences between X-ray and carbon-ion-resistant cancer cells, the biological implications of repeated in vivo X-ray or carbon-ion irradiation, and the main open questions in the field.
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Affiliation(s)
- Katsutoshi Sato
- Division of Hematology and Medical Oncology, Icahn School of Medicine at Mount Sinai, The Tisch Cancer Institute, New York, NY, United States
| | - Takashi Shimokawa
- Department of Accelerator and Medical Physics, National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Sciences and Technology, Chiba, Japan
| | - Takashi Imai
- Medical Databank, Department of Radiation Medicine, QST Hospital, National Institutes for Quantum and Radiological Science and Technology, Chiba, Japan
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42
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Dong S, Li W, Wang L, Hu J, Song Y, Zhang B, Ren X, Ji S, Li J, Xu P, Liang Y, Chen G, Lou JT, Yu W. Histone-Related Genes Are Hypermethylated in Lung Cancer and Hypermethylated HIST1H4F Could Serve as a Pan-Cancer Biomarker. Cancer Res 2019; 79:6101-6112. [PMID: 31575549 DOI: 10.1158/0008-5472.can-19-1019] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2019] [Revised: 07/24/2019] [Accepted: 09/27/2019] [Indexed: 11/16/2022]
Abstract
Lung cancer is the leading cause of cancer-related deaths worldwide. Cytologic examination is the current "gold standard" for lung cancer diagnosis, however, this has low sensitivity. Here, we identified a typical methylation signature of histone genes in lung cancer by whole-genome DNA methylation analysis, which was validated by The Cancer Genome Atlas (TCGA) lung cancer cohort (n = 907) and was further confirmed in 265 bronchoalveolar lavage fluid samples with specificity and sensitivity of 96.7% and 87.0%, respectively. More importantly, HIST1H4F was universally hypermethylated in all 17 tumor types from TCGA datasets (n = 7,344), which was further validated in nine different types of cancer (n = 243). These results demonstrate that HIST1H4F can function as a universal-cancer-only methylation (UCOM) marker, which may aid in understanding general tumorigenesis and improve screening for early cancer diagnosis. SIGNIFICANCE: These findings identify a new biomarker for cancer detection and show that hypermethylation of histone-related genes seems to persist across cancers.
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Affiliation(s)
- Shihua Dong
- Shanghai Public Health Clinical Center and Department of General Surgery, Huashan Hospital, Cancer Metastasis Institute and Laboratory of RNA Epigenetics, Institutes of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai, China
| | - Wei Li
- Shanghai Public Health Clinical Center and Department of General Surgery, Huashan Hospital, Cancer Metastasis Institute and Laboratory of RNA Epigenetics, Institutes of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai, China
| | - Lin Wang
- Department of Laboratory Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Jie Hu
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Yuanlin Song
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Baolong Zhang
- Shanghai Public Health Clinical Center and Department of General Surgery, Huashan Hospital, Cancer Metastasis Institute and Laboratory of RNA Epigenetics, Institutes of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai, China
| | - Xiaoguang Ren
- Shanghai Public Health Clinical Center and Department of General Surgery, Huashan Hospital, Cancer Metastasis Institute and Laboratory of RNA Epigenetics, Institutes of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai, China
| | - Shimeng Ji
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jin Li
- Shanghai Public Health Clinical Center and Department of General Surgery, Huashan Hospital, Cancer Metastasis Institute and Laboratory of RNA Epigenetics, Institutes of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai, China
| | - Peng Xu
- Shanghai Public Health Clinical Center and Department of General Surgery, Huashan Hospital, Cancer Metastasis Institute and Laboratory of RNA Epigenetics, Institutes of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai, China
| | - Ying Liang
- Shanghai Public Health Clinical Center and Department of General Surgery, Huashan Hospital, Cancer Metastasis Institute and Laboratory of RNA Epigenetics, Institutes of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai, China
| | - Gang Chen
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jia-Tao Lou
- Department of Laboratory Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.
| | - Wenqiang Yu
- Shanghai Public Health Clinical Center and Department of General Surgery, Huashan Hospital, Cancer Metastasis Institute and Laboratory of RNA Epigenetics, Institutes of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai, China.
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43
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Martino N, Kwok SJ, Liapis AC, Forward S, Jang H, Kim HM, Wu SJ, Wu J, Dannenberg PH, Jang SJ, Lee YH, Yun SH. Wavelength-encoded laser particles for massively multiplexed cell tagging. NATURE PHOTONICS 2019; 13:720-727. [PMID: 32231707 PMCID: PMC7104740 DOI: 10.1038/s41566-019-0489-0] [Citation(s) in RCA: 57] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2018] [Accepted: 06/06/2019] [Indexed: 05/19/2023]
Abstract
Large-scale single-cell analyses have become increasingly important given the role of cellular heterogeneity in complex biological systems. However, no current techniques enable optical imaging of uniquely-tagged individual cells. Fluorescence-based approaches can only distinguish a small number of distinct cells or cell groups at a time because of spectral crosstalk between conventional fluorophores. Here we investigate large-scale cell tracking using intracellular laser particles as imaging probes that emit coherent laser light with a characteristic wavelength. Made of silica-coated semiconductor microcavities, these laser particles have single-mode emission over a broad range from 1170 to 1580 nm with sub-nm linewidths, enabling massive spectral multiplexing. We explore the stability and biocompatibility of these probes in vitro and their utility for wavelength-multiplexed cell tagging and imaging. We demonstrate real-time tracking of thousands of individual cells in a 3D tumour model over several days showing different behavioural phenotypes.
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Affiliation(s)
- Nicola Martino
- Harvard Medical School and Wellman Center for Photomedicine, Massachusetts General Hospital, 50 Blossom Street, Boston, MA 02114, USA
| | - Sheldon J.J. Kwok
- Harvard Medical School and Wellman Center for Photomedicine, Massachusetts General Hospital, 50 Blossom Street, Boston, MA 02114, USA
- Harvard-MIT Health Sciences and Technology, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA
| | - Andreas C. Liapis
- Harvard Medical School and Wellman Center for Photomedicine, Massachusetts General Hospital, 50 Blossom Street, Boston, MA 02114, USA
| | - Sarah Forward
- Harvard Medical School and Wellman Center for Photomedicine, Massachusetts General Hospital, 50 Blossom Street, Boston, MA 02114, USA
| | - Hoon Jang
- Department of Physics, Korea Advanced Institute of Science and Technology, 291 Daehak-ro, Yuseong-gu, Daejeon 34141, South Korea
| | - Hwi-Min Kim
- Department of Physics, Korea Advanced Institute of Science and Technology, 291 Daehak-ro, Yuseong-gu, Daejeon 34141, South Korea
| | - Sarah J. Wu
- Harvard Medical School and Wellman Center for Photomedicine, Massachusetts General Hospital, 50 Blossom Street, Boston, MA 02114, USA
- Department of Mechanical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA
| | - Jiamin Wu
- Harvard Medical School and Wellman Center for Photomedicine, Massachusetts General Hospital, 50 Blossom Street, Boston, MA 02114, USA
- Department of Automation, Tsinghua University, Beijing 100084, China
| | - Paul H. Dannenberg
- Harvard Medical School and Wellman Center for Photomedicine, Massachusetts General Hospital, 50 Blossom Street, Boston, MA 02114, USA
- Harvard-MIT Health Sciences and Technology, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA
| | - Sun-Joo Jang
- Harvard Medical School and Wellman Center for Photomedicine, Massachusetts General Hospital, 50 Blossom Street, Boston, MA 02114, USA
| | - Yong-Hee Lee
- Department of Physics, Korea Advanced Institute of Science and Technology, 291 Daehak-ro, Yuseong-gu, Daejeon 34141, South Korea
| | - Seok-Hyun Yun
- Harvard Medical School and Wellman Center for Photomedicine, Massachusetts General Hospital, 50 Blossom Street, Boston, MA 02114, USA
- Harvard-MIT Health Sciences and Technology, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA
- Corresponding Author: S. H. Andy Yun, Ph.D., Professor, Harvard Medical School, Patricia and Scott Eston MGH Research Scholar, 65 Landsdowne St. UP-525, Cambridge, MA 02139, USA, Tel: 1-617-768-8704,
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44
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Basal-like Breast Cancers: From Pathology to Biology and Back Again. Stem Cell Reports 2019; 10:1676-1686. [PMID: 29874626 PMCID: PMC6117459 DOI: 10.1016/j.stemcr.2018.04.023] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2017] [Revised: 04/23/2018] [Accepted: 04/25/2018] [Indexed: 12/17/2022] Open
Abstract
Human breast cancers referred to as "basal-like" are of interest because they lack effective therapies and their biology is poorly understood. The term basal-like derives from studies demonstrating tumor gene expression profiles that include some transcripts characteristic of the basal cells of the normal adult human mammary gland and others associated with a subset of normal luminal cells. Elucidating the mechanisms responsible for the profiles of basal-like tumors is an active area of investigation. More refined molecular analysis of patients' samples and genetic strategies to produce breast cancers de novo from defined populations of normal mouse mammary cells have served as complementary approaches to identify relevant pathway alterations. However, both also have limitations. Here, we review some of the underlying reasons, including the unifying concept that some normal luminal cells have both luminal and basal features, as well as some emerging new avenues of investigation.
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45
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Belderbos ME, Jacobs S, Koster TK, Ausema A, Weersing E, Zwart E, de Haan G, Bystrykh LV. Donor-to-Donor Heterogeneity in the Clonal Dynamics of Transplanted Human Cord Blood Stem Cells in Murine Xenografts. Biol Blood Marrow Transplant 2019; 26:16-25. [PMID: 31494231 DOI: 10.1016/j.bbmt.2019.08.026] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2019] [Revised: 07/31/2019] [Accepted: 08/26/2019] [Indexed: 01/12/2023]
Abstract
Umbilical cord blood (UCB) provides an alternative source of hematopoietic stem cells (HSCs) for allogeneic transplantation. Administration of sufficient donor HSCs is critical to restore recipient hematopoiesis and to maintain long-term polyclonal blood formation. However, due to lack of unique markers, the frequency of HSCs among UCB CD34+ cells is the subject of ongoing debate, urging for reproducible strategies for their counting. Here, we used cellular barcoding to determine the frequency and clonal dynamics of human UCB HSCs and to determine how data analysis methods affect these parameters. We transplanted lentivirally barcoded CD34+ cells from 20 UCB donors into Nod/Scid/IL2Ry-/- (NSG) mice (n = 30). Twelve recipients (of 8 UCB donors) engrafted with >1% GFP+ cells, allowing for clonal analysis by multiplexed barcode deep sequencing. Using multiple definitions of clonal diversity and strategies for data filtering, we demonstrate that differences in data analysis can change clonal counts by several orders of magnitude and propose methods to improve their consistency. Using these methods, we show that the frequency of NSG-repopulating cells was low (median ∼1 HSC/104 CD34+ UCB cells) and could vary up to 10-fold between donors. Clonal patterns in blood became increasingly consistent over time, likely reflecting initial output of transient progenitors, followed by long-term HSCs with stable hierarchies. The majority of long-term clones displayed multilineage output, yet clones with lymphoid- or myeloid-biased output were also observed. Altogether, this study uncovers substantial interdonor and analysis-induced variability in the frequency of UCB CD34+ clones that contribute to post-transplant hematopoiesis. As clone tracing is increasingly relevant, we urge for universal and transparent methods to count HSC clones during normal aging and upon transplantation.
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Affiliation(s)
- Mirjam E Belderbos
- Department of Stem Cell Biology and Ageing, European Research Institute for the Biology of Ageing, University of Groningen, Groningen, Netherlands; Princess Máxima Center for Pediatric Oncology and Oncode Institute, Utrecht, Netherlands.
| | - Sabrina Jacobs
- Department of Stem Cell Biology and Ageing, European Research Institute for the Biology of Ageing, University of Groningen, Groningen, Netherlands
| | - Taco K Koster
- Department of Stem Cell Biology and Ageing, European Research Institute for the Biology of Ageing, University of Groningen, Groningen, Netherlands
| | - Albertina Ausema
- Department of Stem Cell Biology and Ageing, European Research Institute for the Biology of Ageing, University of Groningen, Groningen, Netherlands
| | - Ellen Weersing
- Department of Stem Cell Biology and Ageing, European Research Institute for the Biology of Ageing, University of Groningen, Groningen, Netherlands
| | - Erik Zwart
- Department of Stem Cell Biology and Ageing, European Research Institute for the Biology of Ageing, University of Groningen, Groningen, Netherlands
| | - Gerald de Haan
- Department of Stem Cell Biology and Ageing, European Research Institute for the Biology of Ageing, University of Groningen, Groningen, Netherlands
| | - Leonid V Bystrykh
- Department of Stem Cell Biology and Ageing, European Research Institute for the Biology of Ageing, University of Groningen, Groningen, Netherlands
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46
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Milo I, Bedora-Faure M, Garcia Z, Thibaut R, Périé L, Shakhar G, Deriano L, Bousso P. The immune system profoundly restricts intratumor genetic heterogeneity. Sci Immunol 2019; 3:3/29/eaat1435. [PMID: 30470696 DOI: 10.1126/sciimmunol.aat1435] [Citation(s) in RCA: 71] [Impact Index Per Article: 14.2] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2018] [Revised: 08/03/2018] [Accepted: 10/18/2018] [Indexed: 12/14/2022]
Abstract
Tumors develop under the selective pressure of the immune system. However, it remains critical to establish how the immune system affects the clonal heterogeneity of tumors that often display cell-to-cell variation in genetic alterations and antigenic expression. To address these questions, we introduced a multicolor barcoding strategy to study the growth of a MYC-driven B cell lymphoma harboring a large degree of intratumor genetic diversity. Using intravital imaging, we visualized that lymphoma subclones grow as patches of sessile cells in the bone marrow, creating a spatially compartmentalized architecture for tumor diversity. Using multicolor barcoding and whole-exome sequencing, we demonstrated that immune responses strongly restrict intratumor genomic diversity and favor clonal dominance, a process mediated by the selective elimination of more immunogenic cells and amplified by epitope spreading. Anti-PD-1 treatment also narrowed intratumor diversity. Our results provide direct evidence that immune pressure shapes the level of intratumor genetic heterogeneity and have important implications for the design of therapeutic strategies.
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Affiliation(s)
- Idan Milo
- Dynamics of Immune Responses Unit, Equipe Labellisée Ligue Contre le Cancer, Institut Pasteur, 75015 Paris, France.,INSERM U1223, 75015 Paris, France
| | - Marie Bedora-Faure
- Genome Integrity, Immunity and Cancer Unit, Department of Immunology, Department of Genomes and Genetics, Institut Pasteur, 75015 Paris, France
| | - Zacarias Garcia
- Dynamics of Immune Responses Unit, Equipe Labellisée Ligue Contre le Cancer, Institut Pasteur, 75015 Paris, France.,INSERM U1223, 75015 Paris, France
| | - Ronan Thibaut
- Dynamics of Immune Responses Unit, Equipe Labellisée Ligue Contre le Cancer, Institut Pasteur, 75015 Paris, France.,INSERM U1223, 75015 Paris, France.,University Paris Diderot, Sorbonne Paris Cité, Cellule Pasteur, rue du Dr Roux, 75015 Paris, France
| | - Leïla Périé
- Institut Curie, PSL Research University, CNRS UMR168, 11 rue Pierre et Marie Curie, 75005 Paris, France.,Sorbonne Universités, UPMC University Paris 06, 4 place Jussieu, 75005 Paris, France
| | - Guy Shakhar
- Department of Immunology, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Ludovic Deriano
- Genome Integrity, Immunity and Cancer Unit, Department of Immunology, Department of Genomes and Genetics, Institut Pasteur, 75015 Paris, France
| | - Philippe Bousso
- Dynamics of Immune Responses Unit, Equipe Labellisée Ligue Contre le Cancer, Institut Pasteur, 75015 Paris, France. .,INSERM U1223, 75015 Paris, France
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47
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Shastri S, Chatterjee B, Thakur SS. Achievements in Cancer Research and its Therapeutics in Hundred Years. Curr Top Med Chem 2019; 19:1545-1562. [PMID: 31362690 DOI: 10.2174/1568026619666190730093034] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2019] [Revised: 07/16/2019] [Accepted: 07/18/2019] [Indexed: 12/19/2022]
Abstract
Cancer research has progressed leaps and bounds over the years. This review is a brief overview of the cancer research, milestone achievements and therapeutic studies on it over the one hundred ten years which would give us an insight into how far we have come to understand and combat this fatal disease leading to millions of deaths worldwide. Modern biology has proved that cancer is a very complex disease as still we do not know precisely how it triggers. It involves several factors such as protooncogene, oncogene, kinase, tumor suppressor gene, growth factor, signalling cascade, micro RNA, immunity, environmental factors and carcinogens. However, modern technology now helps the cancer patient on the basis of acquired and established knowledge in the last hundred years to save human lives.
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Affiliation(s)
- Sravanthi Shastri
- Proteomics and Cell Signaling, Centre for Cellular and Molecular Biology, Hyderabad, India
| | - Bhaswati Chatterjee
- National Institute of Pharmaceutical Education and Research, Hyderabad, India
| | - Suman S Thakur
- Proteomics and Cell Signaling, Centre for Cellular and Molecular Biology, Hyderabad, India
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48
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Abstract
Large-scale sequencing of human tumours has uncovered a vast array of genomic alterations. Genetically engineered mouse models recapitulate many features of human cancer and have been instrumental in assigning biological meaning to specific cancer-associated alterations. However, their time, cost and labour-intensive nature limits their broad utility; thus, the functional importance of the majority of genomic aberrations in cancer remains unknown. Recent advances have accelerated the functional interrogation of cancer-associated alterations within in vivo models. Specifically, the past few years have seen the emergence of CRISPR-Cas9-based strategies to rapidly generate increasingly complex somatic alterations and the development of multiplexed and quantitative approaches to ascertain gene function in vivo.
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49
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Pellacani D, Tan S, Lefort S, Eaves CJ. Transcriptional regulation of normal human mammary cell heterogeneity and its perturbation in breast cancer. EMBO J 2019; 38:e100330. [PMID: 31304632 PMCID: PMC6627240 DOI: 10.15252/embj.2018100330] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2018] [Revised: 10/22/2018] [Accepted: 11/08/2018] [Indexed: 12/18/2022] Open
Abstract
The mammary gland in adult women consists of biologically distinct cell types that differ in their surface phenotypes. Isolation and molecular characterization of these subpopulations of mammary cells have provided extensive insights into their different transcriptional programs and regulation. This information is now serving as a baseline for interpreting the heterogeneous features of human breast cancers. Examination of breast cancer mutational profiles further indicates that most have undergone a complex evolutionary process even before being detected. The consequent intra-tumoral as well as inter-tumoral heterogeneity of these cancers thus poses major challenges to deriving information from early and hence likely pervasive changes in potential therapeutic interest. Recently described reproducible and efficient methods for generating human breast cancers de novo in immunodeficient mice transplanted with genetically altered primary cells now offer a promising alternative to investigate initial stages of human breast cancer development. In this review, we summarize current knowledge about key transcriptional regulatory processes operative in these partially characterized subpopulations of normal human mammary cells and effects of disrupting these processes in experimentally produced human breast cancers.
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Affiliation(s)
- Davide Pellacani
- Terry Fox LaboratoryBritish Columbia Cancer AgencyVancouverBCCanada
| | - Susanna Tan
- Terry Fox LaboratoryBritish Columbia Cancer AgencyVancouverBCCanada
| | - Sylvain Lefort
- Terry Fox LaboratoryBritish Columbia Cancer AgencyVancouverBCCanada
| | - Connie J Eaves
- Terry Fox LaboratoryBritish Columbia Cancer AgencyVancouverBCCanada
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50
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Bigildeev AE, Pilunov AM, Sats NV, Surin VL, Shipounova IN, Petinati NA, Logacheva MD, Fedotova AV, Kasyanov AS, Artyukhov AS, Dashinimaev EB, Drize NJ. Clonal Composition of Human Multipotent Mesenchymal Stromal Cells: Application of Genetic Barcodes in Research. BIOCHEMISTRY. BIOKHIMIIA 2019; 84:250-262. [PMID: 31221063 DOI: 10.1134/s0006297919030076] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
Clonal composition of human multipotent mesenchymal stromal cells (MMSCs) labeled with lentiviral vectors carrying genetic barcodes was studied. MMSCs were transduced with a cloned library of self-inactivating lentiviral vectors carrying 667 unique barcodes. At each cell culture passage, 120 cells were plated one cell per well in 96-well plates. The efficiency of cloning and labeling of the clonogenic cells was determined. DNA was extracted from the cell-derived colonies, and the barcodes were identified by Sanger sequencing. Also, DNA was extracted from the total MMSC population at each passage to analyze the diversity and representation of barcodes by deep sequencing using the Illumina platform. It was shown that the portion of MMSCs labeled with the lentiviral vectors remained stable in the passaged cells. Because of the high multiplicity of infection, the labeling procedure could decrease the proliferative potential of MMSCs. Identification of barcodes in individual cell clones confirmed the polyclonal character of the MMSC population. Clonal composition of MMSCs changed significantly with the passages due to the depletion of proliferative potential of most cells. Large clones were found at the first passage; at later passages, many small clones with a limited proliferative potential were detected in the population. The results of deep sequencing confirmed changes in the clonal composition of MMSCs. The polyclonal MMSC population contained only a small number of cells with a high proliferative potential, some of which could be stem cells. MMSCs with a high proliferative potential were detected more often in the earliest passages. In this regard, we would recommend to use MMSCs of early passages for regenerative medicine applications based on cell proliferation.
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Affiliation(s)
- A E Bigildeev
- National Research Center for Hematology, Ministry of Health of the Russian Federation, Moscow, 125167, Russia.
| | - A M Pilunov
- Lomonosov Moscow State University, Moscow, 119991, Russia
| | - N V Sats
- National Research Center for Hematology, Ministry of Health of the Russian Federation, Moscow, 125167, Russia
| | - V L Surin
- National Research Center for Hematology, Ministry of Health of the Russian Federation, Moscow, 125167, Russia
| | - I N Shipounova
- National Research Center for Hematology, Ministry of Health of the Russian Federation, Moscow, 125167, Russia
| | - N A Petinati
- National Research Center for Hematology, Ministry of Health of the Russian Federation, Moscow, 125167, Russia
| | - M D Logacheva
- Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Moscow, 119992, Russia
| | - A V Fedotova
- Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Moscow, 119992, Russia
| | - A S Kasyanov
- Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, 119991, Russia
| | - A S Artyukhov
- Pirogov Russian National Research Medical University, Ministry of Health of the Russian Federation, Moscow, 117997, Russia
| | - E B Dashinimaev
- Koltzov Institute of Developmental Biology, Russian Academy of Sciences, Moscow, 119334, Russia
| | - N J Drize
- National Research Center for Hematology, Ministry of Health of the Russian Federation, Moscow, 125167, Russia
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