1
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Sahoo S, Ramu S, Nair MG, Pillai M, San Juan BP, Milioli HZ, Mandal S, Naidu CM, Mavatkar AD, Subramaniam H, Neogi AG, Chaffer CL, Prabhu JS, Somarelli JA, Jolly MK. Multi-modal transcriptomic analysis unravels enrichment of hybrid epithelial/mesenchymal state and enhanced phenotypic heterogeneity in basal breast cancer. bioRxiv 2023:2023.09.30.558960. [PMID: 37873432 PMCID: PMC10592858 DOI: 10.1101/2023.09.30.558960] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/25/2023]
Abstract
Intra-tumoral phenotypic heterogeneity promotes tumor relapse and therapeutic resistance and remains an unsolved clinical challenge. It manifests along multiple phenotypic axes and decoding the interconnections among these different axes is crucial to understand its molecular origins and to develop novel therapeutic strategies to control it. Here, we use multi-modal transcriptomic data analysis - bulk, single-cell and spatial transcriptomics - from breast cancer cell lines and primary tumor samples, to identify associations between epithelial-mesenchymal transition (EMT) and luminal-basal plasticity - two key processes that enable heterogeneity. We show that luminal breast cancer strongly associates with an epithelial cell state, but basal breast cancer is associated with hybrid epithelial/mesenchymal phenotype(s) and higher phenotypic heterogeneity. These patterns were inherent in methylation profiles, suggesting an epigenetic crosstalk between EMT and lineage plasticity in breast cancer. Mathematical modelling of core underlying gene regulatory networks representative of the crosstalk between the luminal-basal and epithelial-mesenchymal axes recapitulate and thus elucidate mechanistic underpinnings of the observed associations from transcriptomic data. Our systems-based approach integrating multi-modal data analysis with mechanism-based modeling offers a predictive framework to characterize intra-tumor heterogeneity and to identify possible interventions to restrict it.
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Affiliation(s)
- Sarthak Sahoo
- Department of Bioengineering, Indian Institute of Science, Bangalore, 560012, India
| | - Soundharya Ramu
- Department of Bioengineering, Indian Institute of Science, Bangalore, 560012, India
| | - Madhumathy G Nair
- Division of Molecular Medicine, St. John’s Research Institute, St. John’s Medical College, Bangalore, 560012, India
| | - Maalavika Pillai
- Department of Bioengineering, Indian Institute of Science, Bangalore, 560012, India
- Current affiliation: Feinberg School of Medicine, Northwestern University, Chicago, 60611, USA
| | - Beatriz P San Juan
- Garvan Institute of Medical Research, Darlinghurst, NSW, 2010, Australia
| | | | - Susmita Mandal
- Department of Bioengineering, Indian Institute of Science, Bangalore, 560012, India
| | - Chandrakala M Naidu
- Division of Molecular Medicine, St. John’s Research Institute, St. John’s Medical College, Bangalore, 560012, India
| | - Apoorva D Mavatkar
- Division of Molecular Medicine, St. John’s Research Institute, St. John’s Medical College, Bangalore, 560012, India
| | - Harini Subramaniam
- Department of Bioengineering, Indian Institute of Science, Bangalore, 560012, India
| | - Arpita G Neogi
- Department of Bioengineering, Indian Institute of Science, Bangalore, 560012, India
| | - Christine L Chaffer
- Garvan Institute of Medical Research, Darlinghurst, NSW, 2010, Australia
- University of New South Wales, UNSW Medicine, UNSW Sydney, NSW, 2052, Australia
| | - Jyothi S Prabhu
- Division of Molecular Medicine, St. John’s Research Institute, St. John’s Medical College, Bangalore, 560012, India
| | | | - Mohit Kumar Jolly
- Department of Bioengineering, Indian Institute of Science, Bangalore, 560012, India
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2
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Sahoo S, Nayak SP, Hari K, Purkait P, Mandal S, Kishore A, Levine H, Jolly MK. Immunosuppressive Traits of the Hybrid Epithelial/Mesenchymal Phenotype. Front Immunol 2022; 12:797261. [PMID: 34975907 PMCID: PMC8714906 DOI: 10.3389/fimmu.2021.797261] [Citation(s) in RCA: 41] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Accepted: 11/24/2021] [Indexed: 12/13/2022] Open
Abstract
Recent preclinical and clinical data suggests enhanced metastatic fitness of hybrid epithelial/mesenchymal (E/M) phenotypes, but mechanistic details regarding their survival strategies during metastasis remain unclear. Here, we investigate immune-evasive strategies of hybrid E/M states. We construct and simulate the dynamics of a minimalistic regulatory network encompassing the known associations among regulators of EMT (epithelial-mesenchymal transition) and PD-L1, an established immune-suppressor. Our simulations for the network consisting of SLUG, ZEB1, miR-200, CDH1 and PD-L1, integrated with single-cell and bulk RNA-seq data analysis, elucidate that hybrid E/M cells can have high levels of PD-L1, similar to those seen in cells with a full EMT phenotype, thus obviating the need for cancer cells to undergo a full EMT to be immune-evasive. Specifically, in breast cancer, we show the co-existence of hybrid E/M phenotypes, enhanced resistance to anti-estrogen therapy and increased PD-L1 levels. Our results underscore how the emergent dynamics of interconnected regulatory networks can coordinate different axes of cellular fitness during metastasis.
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Affiliation(s)
- Sarthak Sahoo
- Undergraduate Program, Indian Institute of Science, Bangalore, India.,Centre for BioSystems Science and Engineering, Indian Institute of Science, Bangalore, India
| | | | - Kishore Hari
- Centre for BioSystems Science and Engineering, Indian Institute of Science, Bangalore, India
| | - Prithu Purkait
- Undergraduate Program, Indian Institute of Science, Bangalore, India
| | - Susmita Mandal
- Centre for BioSystems Science and Engineering, Indian Institute of Science, Bangalore, India
| | - Akash Kishore
- Department of Computer Science & Engineering, Sri Sivasubramaniya Nadar (SSN) College of Engineering, Chennai, India
| | - Herbert Levine
- Center for Theoretical Biological Physics, Northeastern University, Boston, MA, United States.,Departments of Physics and Bioengineering, Northeastern University, Boston, MA, United States
| | - Mohit Kumar Jolly
- Centre for BioSystems Science and Engineering, Indian Institute of Science, Bangalore, India
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3
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Mandal S, Tejaswi T, Janivara R, Srikrishnan S, Thakur P, Sahoo S, Chakraborty P, Sohal SS, Levine H, George JT, Jolly MK. Transcriptomic-Based Quantification of the Epithelial-Hybrid-Mesenchymal Spectrum across Biological Contexts. Biomolecules 2021; 12:29. [PMID: 35053177 PMCID: PMC8773604 DOI: 10.3390/biom12010029] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 12/20/2021] [Accepted: 12/21/2021] [Indexed: 12/12/2022] Open
Abstract
Epithelial-mesenchymal plasticity (EMP) underlies embryonic development, wound healing, and cancer metastasis and fibrosis. Cancer cells exhibiting EMP often have more aggressive behavior, characterized by drug resistance, and tumor-initiating and immuno-evasive traits. Thus, the EMP status of cancer cells can be a critical indicator of patient prognosis. Here, we compare three distinct transcriptomic-based metrics-each derived using a different gene list and algorithm-that quantify the EMP spectrum. Our results for over 80 cancer-related RNA-seq datasets reveal a high degree of concordance among these metrics in quantifying the extent of EMP. Moreover, each metric, despite being trained on cancer expression profiles, recapitulates the expected changes in EMP scores for non-cancer contexts such as lung fibrosis and cellular reprogramming into induced pluripotent stem cells. Thus, we offer a scoring platform to quantify the extent of EMP in vitro and in vivo for diverse biological applications including cancer.
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Affiliation(s)
- Susmita Mandal
- Centre for BioSystems Science and Engineering, Indian Institute of Science, Bangalore 560012, India; (S.M.); (T.T.); (S.S.); (P.C.)
| | - Tanishq Tejaswi
- Centre for BioSystems Science and Engineering, Indian Institute of Science, Bangalore 560012, India; (S.M.); (T.T.); (S.S.); (P.C.)
- Undergraduate Programme, Indian Institute of Science, Bangalore 560012, India
| | - Rohini Janivara
- Department of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332, USA;
| | - Syamanthak Srikrishnan
- Department of Biotechnology, Indian Institute of Technology, Kharagpur 721302, India; (S.S.); (P.T.)
| | - Pradipti Thakur
- Department of Biotechnology, Indian Institute of Technology, Kharagpur 721302, India; (S.S.); (P.T.)
| | - Sarthak Sahoo
- Centre for BioSystems Science and Engineering, Indian Institute of Science, Bangalore 560012, India; (S.M.); (T.T.); (S.S.); (P.C.)
| | - Priyanka Chakraborty
- Centre for BioSystems Science and Engineering, Indian Institute of Science, Bangalore 560012, India; (S.M.); (T.T.); (S.S.); (P.C.)
| | - Sukhwinder Singh Sohal
- Respiratory Translational Research Group, Department of Laboratory Medicine, School of Health Sciences, College of Health and Medicine, University of Tasmania, Launceston 7248, Australia;
| | - Herbert Levine
- Departments of Physics and Bioengineering, Northeastern University, Boston, MA 02115, USA;
- Center for Theoretical Biological Physics, Rice University, Houston, TX 77030, USA
| | - Jason T. George
- Center for Theoretical Biological Physics, Rice University, Houston, TX 77030, USA
| | - Mohit Kumar Jolly
- Centre for BioSystems Science and Engineering, Indian Institute of Science, Bangalore 560012, India; (S.M.); (T.T.); (S.S.); (P.C.)
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4
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Pasani S, Sahoo S, Jolly MK. Hybrid E/M Phenotype(s) and Stemness: A Mechanistic Connection Embedded in Network Topology. J Clin Med 2020; 10:E60. [PMID: 33375334 PMCID: PMC7794989 DOI: 10.3390/jcm10010060] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Revised: 12/20/2020] [Accepted: 12/23/2020] [Indexed: 02/07/2023] Open
Abstract
Metastasis remains an unsolved clinical challenge. Two crucial features of metastasizing cancer cells are (a) their ability to dynamically move along the epithelial-hybrid-mesenchymal spectrum and (b) their tumor initiation potential or stemness. With increasing functional characterization of hybrid epithelial/mesenchymal (E/M) phenotypes along the spectrum, recent in vitro and in vivo studies have suggested an increasing association of hybrid E/M phenotypes with stemness. However, the mechanistic underpinnings enabling this association remain unclear. Here, we develop a mechanism-based mathematical modeling framework that interrogates the emergent nonlinear dynamics of the coupled network modules regulating E/M plasticity (miR-200/ZEB) and stemness (LIN28/let-7). Simulating the dynamics of this coupled network across a large ensemble of parameter sets, we observe that hybrid E/M phenotype(s) are more likely to acquire stemness relative to "pure" epithelial or mesenchymal states. We also integrate multiple "phenotypic stability factors" (PSFs) that have been shown to stabilize hybrid E/M phenotypes both in silico and in vitro-such as OVOL1/2, GRHL2, and NRF2-with this network, and demonstrate that the enrichment of hybrid E/M phenotype(s) with stemness is largely conserved in the presence of these PSFs. Thus, our results offer mechanistic insights into recent experimental observations of hybrid E/M phenotype(s) that are essential for tumor initiation and highlight how this feature is embedded in the underlying topology of interconnected EMT (Epithelial-Mesenchymal Transition) and stemness networks.
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Affiliation(s)
- Satwik Pasani
- Centre for BioSystems Science and Engineering, Indian Institute of Science, Bangalore 560012, India; (S.P.); (S.S.)
| | - Sarthak Sahoo
- Centre for BioSystems Science and Engineering, Indian Institute of Science, Bangalore 560012, India; (S.P.); (S.S.)
- Undergraduate Programme, Indian Institute of Science, Bangalore 560012, India
| | - Mohit Kumar Jolly
- Centre for BioSystems Science and Engineering, Indian Institute of Science, Bangalore 560012, India; (S.P.); (S.S.)
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5
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Subbalakshmi AR, Kundnani D, Biswas K, Ghosh A, Hanash SM, Tripathi SC, Jolly MK. NFATc Acts as a Non-Canonical Phenotypic Stability Factor for a Hybrid Epithelial/Mesenchymal Phenotype. Front Oncol 2020; 10:553342. [PMID: 33014880 PMCID: PMC7506140 DOI: 10.3389/fonc.2020.553342] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2020] [Accepted: 08/13/2020] [Indexed: 12/23/2022] Open
Abstract
Metastasis remains the cause of over 90% of cancer-related deaths. Cells undergoing metastasis use phenotypic plasticity to adapt to their changing environmental conditions and avoid therapy and immune response. Reversible transitions between epithelial and mesenchymal phenotypes – epithelial–mesenchymal transition (EMT) and its reverse mesenchymal–epithelial transition (MET) – form a key axis of phenotypic plasticity during metastasis and therapy resistance. Recent studies have shown that the cells undergoing EMT/MET can attain one or more hybrid epithelial/mesenchymal (E/M) phenotypes, the process of which is termed as partial EMT/MET. Cells in hybrid E/M phenotype(s) can be more aggressive than those in either epithelial or mesenchymal state. Thus, it is crucial to identify the factors and regulatory networks enabling such hybrid E/M phenotypes. Here, employing an integrated computational-experimental approach, we show that the transcription factor nuclear factor of activated T-cell (NFATc) can inhibit the process of complete EMT, thus stabilizing the hybrid E/M phenotype. It increases the range of parameters enabling the existence of a hybrid E/M phenotype, thus behaving as a phenotypic stability factor (PSF). However, unlike previously identified PSFs, it does not increase the mean residence time of the cells in hybrid E/M phenotypes, as shown by stochastic simulations; rather it enables the co-existence of epithelial, mesenchymal and hybrid E/M phenotypes and transitions among them. Clinical data suggests the effect of NFATc on patient survival in a tissue-specific or context-dependent manner. Together, our results indicate that NFATc behaves as a non-canonical PSF for a hybrid E/M phenotype.
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Affiliation(s)
| | - Deepali Kundnani
- Department of Clinical Cancer Prevention, UT MD Anderson Cancer Center, Houston, TX, United States
| | - Kuheli Biswas
- Department of Physical Sciences, Indian Institute of Science Education and Research, Kolkata, India
| | - Anandamohan Ghosh
- Department of Physical Sciences, Indian Institute of Science Education and Research, Kolkata, India
| | - Samir M Hanash
- Department of Clinical Cancer Prevention, UT MD Anderson Cancer Center, Houston, TX, United States
| | - Satyendra C Tripathi
- Department of Clinical Cancer Prevention, UT MD Anderson Cancer Center, Houston, TX, United States.,Department of Biochemistry, All India Institute of Medical Sciences, Nagpur, India
| | - Mohit Kumar Jolly
- Centre for BioSystems Science and Engineering, Indian Institute of Science, Bengaluru, India
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6
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Chakraborty P, George JT, Tripathi S, Levine H, Jolly MK. Comparative Study of Transcriptomics-Based Scoring Metrics for the Epithelial-Hybrid-Mesenchymal Spectrum. Front Bioeng Biotechnol 2020; 8:220. [PMID: 32266244 PMCID: PMC7100584 DOI: 10.3389/fbioe.2020.00220] [Citation(s) in RCA: 55] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2020] [Accepted: 03/04/2020] [Indexed: 12/26/2022] Open
Abstract
The Epithelial-mesenchymal transition (EMT) is a cellular process implicated in embryonic development, wound healing, and pathological conditions such as cancer metastasis and fibrosis. Cancer cells undergoing EMT exhibit enhanced aggressive behavior characterized by drug resistance, tumor-initiation potential, and the ability to evade the immune system. Recent in silico, in vitro, and in vivo evidence indicates that EMT is not an all-or-none process; instead, cells can stably acquire one or more hybrid epithelial/mesenchymal (E/M) phenotypes which often can be more aggressive than purely E or M cell populations. Thus, the EMT status of cancer cells can prove to be a critical estimate of patient prognosis. Recent attempts have employed different transcriptomics signatures to quantify EMT status in cell lines and patient tumors. However, a comprehensive comparison of these methods, including their accuracy in identifying cells in the hybrid E/M phenotype(s), is lacking. Here, we compare three distinct metrics that score EMT on a continuum, based on the transcriptomics signature of individual samples. Our results demonstrate that these methods exhibit good concordance among themselves in quantifying the extent of EMT in a given sample. Moreover, scoring EMT using any of the three methods discerned that cells can undergo varying extents of EMT across tumor types. Separately, our analysis also identified tumor types with maximum variability in terms of EMT and associated an enrichment of hybrid E/M signatures in these samples. Moreover, we also found that the multinomial logistic regression (MLR)-based metric was capable of distinguishing between "pure" individual hybrid E/M vs. mixtures of E and M cells. Our results, thus, suggest that while any of the three methods can indicate a generic trend in the EMT status of a given cell, the MLR method has two additional advantages: (a) it uses a small number of predictors to calculate the EMT score and (b) it can predict from the transcriptomic signature of a population whether it is comprised of "pure" hybrid E/M cells at the single-cell level or is instead an ensemble of E and M cell subpopulations.
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Affiliation(s)
- Priyanka Chakraborty
- Centre for BioSystems Science and Engineering, Indian Institute of Science, Bengaluru, India
| | - Jason T. George
- Center for Theoretical Biological Physics, Rice University, Houston, TX, United States
- Medical Scientist Training Program, Baylor College of Medicine, Houston, TX, United States
| | - Shubham Tripathi
- Center for Theoretical Biological Physics, Rice University, Houston, TX, United States
- Ph.D. Program in Systems, Synthetic, and Physical Biology, Rice University, Houston, TX, United States
- Department of Physics, College of Science, Northeastern University, Boston, MA, United States
| | - Herbert Levine
- Center for Theoretical Biological Physics, Rice University, Houston, TX, United States
- Department of Physics, College of Science, Northeastern University, Boston, MA, United States
- Department of Bioengineering, College of Engineering, Northeastern University, Boston, MA, United States
| | - Mohit Kumar Jolly
- Centre for BioSystems Science and Engineering, Indian Institute of Science, Bengaluru, India
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7
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Chakraborty P, George JT, Tripathi S, Levine H, Jolly MK. Comparative Study of Transcriptomics-Based Scoring Metrics for the Epithelial-Hybrid-Mesenchymal Spectrum. Front Bioeng Biotechnol 2020; 8:220. [PMID: 32266244 DOI: 10.3389/fbioe.2020.00220/full] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2020] [Accepted: 03/04/2020] [Indexed: 05/28/2023] Open
Abstract
The Epithelial-mesenchymal transition (EMT) is a cellular process implicated in embryonic development, wound healing, and pathological conditions such as cancer metastasis and fibrosis. Cancer cells undergoing EMT exhibit enhanced aggressive behavior characterized by drug resistance, tumor-initiation potential, and the ability to evade the immune system. Recent in silico, in vitro, and in vivo evidence indicates that EMT is not an all-or-none process; instead, cells can stably acquire one or more hybrid epithelial/mesenchymal (E/M) phenotypes which often can be more aggressive than purely E or M cell populations. Thus, the EMT status of cancer cells can prove to be a critical estimate of patient prognosis. Recent attempts have employed different transcriptomics signatures to quantify EMT status in cell lines and patient tumors. However, a comprehensive comparison of these methods, including their accuracy in identifying cells in the hybrid E/M phenotype(s), is lacking. Here, we compare three distinct metrics that score EMT on a continuum, based on the transcriptomics signature of individual samples. Our results demonstrate that these methods exhibit good concordance among themselves in quantifying the extent of EMT in a given sample. Moreover, scoring EMT using any of the three methods discerned that cells can undergo varying extents of EMT across tumor types. Separately, our analysis also identified tumor types with maximum variability in terms of EMT and associated an enrichment of hybrid E/M signatures in these samples. Moreover, we also found that the multinomial logistic regression (MLR)-based metric was capable of distinguishing between "pure" individual hybrid E/M vs. mixtures of E and M cells. Our results, thus, suggest that while any of the three methods can indicate a generic trend in the EMT status of a given cell, the MLR method has two additional advantages: (a) it uses a small number of predictors to calculate the EMT score and (b) it can predict from the transcriptomic signature of a population whether it is comprised of "pure" hybrid E/M cells at the single-cell level or is instead an ensemble of E and M cell subpopulations.
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Affiliation(s)
- Priyanka Chakraborty
- Centre for BioSystems Science and Engineering, Indian Institute of Science, Bengaluru, India
| | - Jason T George
- Center for Theoretical Biological Physics, Rice University, Houston, TX, United States
- Medical Scientist Training Program, Baylor College of Medicine, Houston, TX, United States
| | - Shubham Tripathi
- Center for Theoretical Biological Physics, Rice University, Houston, TX, United States
- Ph.D. Program in Systems, Synthetic, and Physical Biology, Rice University, Houston, TX, United States
- Department of Physics, College of Science, Northeastern University, Boston, MA, United States
| | - Herbert Levine
- Center for Theoretical Biological Physics, Rice University, Houston, TX, United States
- Department of Physics, College of Science, Northeastern University, Boston, MA, United States
- Department of Bioengineering, College of Engineering, Northeastern University, Boston, MA, United States
| | - Mohit Kumar Jolly
- Centre for BioSystems Science and Engineering, Indian Institute of Science, Bengaluru, India
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8
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Quan Q, Wang X, Lu C, Ma W, Wang Y, Xia G, Wang C, Yang G. Cancer stem-like cells with hybrid epithelial/mesenchymal phenotype leading the collective invasion. Cancer Sci 2020; 111:467-476. [PMID: 31845453 PMCID: PMC7004545 DOI: 10.1111/cas.14285] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2019] [Revised: 12/02/2019] [Accepted: 12/08/2019] [Indexed: 02/06/2023] Open
Abstract
Collective invasion of cancer cells is the key process of circulating tumor cell (CTC) cluster formation, and greatly contributes to metastasis. Cancer stem-like cells (CSC) have a distinct advantage of motility for metastatic dissemination. To verify the role of CSC in the collective invasion, we performed 3D assays to investigate the collective invasion from cancer cell spheroids. The results demonstrated that CSC can significantly promote both collective and single-cell invasion. Further study showed that CSC prefer to move outside and lead the collective invasion. More interestingly, approximately 60% of the leader CSC in collective invasion co-expressed both epithelial and mesenchymal genes, while only 4% co-expressed in single invasive CSC, indicating that CSC with hybrid epithelial/mesenchymal phenotype play a key role in cancer cell collective invasion.
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Affiliation(s)
- Qianghua Quan
- State Key Laboratory of AgrobiotechnologyCollege of Biological SciencesChina Agricultural UniversityBeijingChina
- State Key Laboratory of Nuclear Physics and TechnologySchool of PhysicsPeking UniversityBeijingChina
| | - Xudong Wang
- State Key Laboratory of Nuclear Physics and TechnologySchool of PhysicsPeking UniversityBeijingChina
| | - Chunyang Lu
- State Key Laboratory of Nuclear Physics and TechnologySchool of PhysicsPeking UniversityBeijingChina
| | - Wenzong Ma
- State Key Laboratory of Nuclear Physics and TechnologySchool of PhysicsPeking UniversityBeijingChina
| | - Yugang Wang
- State Key Laboratory of Nuclear Physics and TechnologySchool of PhysicsPeking UniversityBeijingChina
| | - Guoliang Xia
- State Key Laboratory of AgrobiotechnologyCollege of Biological SciencesChina Agricultural UniversityBeijingChina
| | - Chao Wang
- State Key Laboratory of AgrobiotechnologyCollege of Biological SciencesChina Agricultural UniversityBeijingChina
| | - Gen Yang
- State Key Laboratory of Nuclear Physics and TechnologySchool of PhysicsPeking UniversityBeijingChina
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9
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Jolly MK, Tripathi SC, Somarelli JA, Hanash SM, Levine H. Epithelial/mesenchymal plasticity: how have quantitative mathematical models helped improve our understanding? Mol Oncol 2017; 11:739-754. [PMID: 28548388 PMCID: PMC5496493 DOI: 10.1002/1878-0261.12084] [Citation(s) in RCA: 57] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2017] [Revised: 05/11/2017] [Accepted: 05/18/2017] [Indexed: 12/17/2022] Open
Abstract
Phenotypic plasticity, the ability of cells to reversibly alter their phenotypes in response to signals, presents a significant clinical challenge to treating solid tumors. Tumor cells utilize phenotypic plasticity to evade therapies, metastasize, and colonize distant organs. As a result, phenotypic plasticity can accelerate tumor progression. A well‐studied example of phenotypic plasticity is the bidirectional conversions among epithelial, mesenchymal, and hybrid epithelial/mesenchymal (E/M) phenotype(s). These conversions can alter a repertoire of cellular traits associated with multiple hallmarks of cancer, such as metabolism, immune evasion, invasion, and metastasis. To tackle the complexity and heterogeneity of these transitions, mathematical models have been developed that seek to capture the experimentally verified molecular mechanisms and act as ‘hypothesis‐generating machines’. Here, we discuss how these quantitative mathematical models have helped us explain existing experimental data, guided further experiments, and provided an improved conceptual framework for understanding how multiple intracellular and extracellular signals can drive E/M plasticity at both the single‐cell and population levels. We also discuss the implications of this plasticity in driving multiple aggressive facets of tumor progression.
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Affiliation(s)
- Mohit Kumar Jolly
- Center for Theoretical Biological Physics, Rice University, Houston, TX, USA
| | - Satyendra C Tripathi
- Department of Clinical Cancer Prevention, UT MD Anderson Cancer Center, Houston, TX, USA
| | - Jason A Somarelli
- Department of Medicine, Duke Cancer Institute, Duke University, Durham, NC, USA
| | - Samir M Hanash
- Department of Clinical Cancer Prevention, UT MD Anderson Cancer Center, Houston, TX, USA
| | - Herbert Levine
- Center for Theoretical Biological Physics, Rice University, Houston, TX, USA
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10
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Jolly MK, Ware KE, Gilja S, Somarelli JA, Levine H. EMT and MET: necessary or permissive for metastasis? Mol Oncol 2017; 11:755-769. [PMID: 28548345 PMCID: PMC5496498 DOI: 10.1002/1878-0261.12083] [Citation(s) in RCA: 240] [Impact Index Per Article: 34.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2017] [Revised: 05/11/2017] [Accepted: 05/18/2017] [Indexed: 12/13/2022] Open
Abstract
Epithelial‐to‐mesenchymal transition (EMT) and its reverse mesenchymal‐to‐epithelial transition (MET) have been suggested to play crucial roles in metastatic dissemination of carcinomas. These phenotypic transitions between states are not binary. Instead, carcinoma cells often exhibit a spectrum of epithelial/mesenchymal phenotype(s). While epithelial/mesenchymal plasticity has been observed preclinically and clinically, whether any of these phenotypic transitions are indispensable for metastatic outgrowth remains an unanswered question. Here, we focus on epithelial/mesenchymal plasticity in metastatic dissemination and propose alternative mechanisms for successful dissemination and metastases beyond the traditional EMT/MET view. We highlight multiple hypotheses that can help reconcile conflicting observations, and outline the next set of key questions that can offer valuable insights into mechanisms of metastasis in multiple tumor models.
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Affiliation(s)
- Mohit Kumar Jolly
- Center for Theoretical Biological Physics, Rice University, Houston, TX, USA
| | - Kathryn E Ware
- Duke Cancer Institute & Department of Medicine, Duke University Medical Center, Durham, NC, USA
| | - Shivee Gilja
- Duke Cancer Institute & Department of Medicine, Duke University Medical Center, Durham, NC, USA
| | - Jason A Somarelli
- Duke Cancer Institute & Department of Medicine, Duke University Medical Center, Durham, NC, USA
| | - Herbert Levine
- Center for Theoretical Biological Physics, Rice University, Houston, TX, USA
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