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Saraswat A, Patel K. Development and in-depth characterization of BRAFi-resistant melanoma cell lines in vitro and in vivo. Exp Cell Res 2024; 438:114033. [PMID: 38593916 DOI: 10.1016/j.yexcr.2024.114033] [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: 09/18/2023] [Revised: 02/04/2024] [Accepted: 04/05/2024] [Indexed: 04/11/2024]
Abstract
Regardless of the clinical response and improved patient survival observed following treatment with BRAFi like Vemurafenib (Vem), rapid development of resistance still remains as a major obstacle in melanoma therapy. In this context, we developed and characterized two acquired Vem-resistant melanoma cell lines, A375V and SK-MEL-28V, and an intrinsically Vem-resistant cell line, RPMI-7951. Altered morphology and growth rate of the resistant cell lines displayed spindle-shaped cells with filopodia formation and enhanced proliferation rate as compared to parental cells. Further in vitro characterization in 2D models confirmed the emergence of a resistant phenotype in melanoma cells. To mimic the in vivo tumor microenvironment, spheroids were developed for both parental and resistant cell lines to recognize materialization of invadopodia structures demonstrating elevated invasiveness and proliferation of resistant cells-based spheroids, especially A375V. Importantly, we validated A375V cell line in vivo to prove its tumorigenicity and drug resistance in tumor xenograft model. Taken together, our established clinically relevant Vem-resistant tumor model could be beneficial to elucidate drug resistance mechanisms, screen and identify novel anticancer therapies to overcome BRAFi resistance in melanoma.
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Affiliation(s)
- Aishwarya Saraswat
- College of Pharmacy and Health Sciences, St. John's University, Queens, NY, 11439, USA
| | - Ketan Patel
- College of Pharmacy and Health Sciences, St. John's University, Queens, NY, 11439, USA.
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2
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Böpple K, Oren Y, Henry WS, Dong M, Weller S, Thiel J, Kleih M, Gaißler A, Zipperer D, Kopp HG, Aylon Y, Oren M, Essmann F, Liang C, Aulitzky WE. ATF3 characterizes aggressive drug-tolerant persister cells in HGSOC. Cell Death Dis 2024; 15:290. [PMID: 38658567 PMCID: PMC11043376 DOI: 10.1038/s41419-024-06674-x] [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: 07/18/2023] [Revised: 03/19/2024] [Accepted: 04/11/2024] [Indexed: 04/26/2024]
Abstract
High-grade serous ovarian cancer (HGSOC) represents the most common and lethal subtype of ovarian cancer. Despite initial response to platinum-based standard therapy, patients commonly suffer from relapse that likely originates from drug-tolerant persister (DTP) cells. We generated isogenic clones of treatment-naïve and cisplatin-tolerant persister HGSOC cells. In addition, single-cell RNA sequencing of barcoded cells was performed in a xenograft model with HGSOC cell lines after platinum-based therapy. Published single-cell RNA-sequencing data from neo-adjuvant and non-treated HGSOC patients and patient data from TCGA were analyzed. DTP-derived cells exhibited morphological alterations and upregulation of epithelial-mesenchymal transition (EMT) markers. An aggressive subpopulation of DTP-derived cells showed high expression of the stress marker ATF3. Knockdown of ATF3 enhanced the sensitivity of aggressive DTP-derived cells to cisplatin-induced cell death, implying a role for ATF3 stress response in promoting a drug tolerant persister cell state. Furthermore, single cell lineage tracing to detect transcriptional changes in a HGSOC cell line-derived xenograft relapse model showed that cells derived from relapsed solid tumors express increased levels of EMT and multiple endoplasmic reticulum (ER) stress markers, including ATF3. Single cell RNA sequencing of epithelial cells from four HGSOC patients also identified a small cell population resembling DTP cells in all samples. Moreover, analysis of TCGA data from 259 HGSOC patients revealed a significant progression-free survival advantage for patients with low expression of the ATF3-associated partial EMT genes. These findings suggest that increased ATF3 expression together with partial EMT promote the development of aggressive DTP, and thereby relapse in HGSOC patients.
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Affiliation(s)
- Kathrin Böpple
- Dr. Margarete Fischer-Bosch - Institute of Clinical Pharmacology and University of Tuebingen, Auerbachstr. 112, 70376, Stuttgart, Germany.
| | - Yaara Oren
- Department of Human Molecular Genetics & Biochemistry, Faculty of Medicine, Tel Aviv University, Tel Aviv-Yafo, Israel
| | - Whitney S Henry
- Whitehead Institute for Biomedical Research, 455 Main St., Cambridge, MA, 02142, USA
| | - Meng Dong
- Dr. Margarete Fischer-Bosch - Institute of Clinical Pharmacology and University of Tuebingen, Auerbachstr. 112, 70376, Stuttgart, Germany
| | - Sandra Weller
- Dr. Margarete Fischer-Bosch - Institute of Clinical Pharmacology and University of Tuebingen, Auerbachstr. 112, 70376, Stuttgart, Germany
- Robert Bosch Center for Tumor Diseases (RBCT), Auerbachstr. 110, 70376, Stuttgart, Germany
| | - Julia Thiel
- Dr. Margarete Fischer-Bosch - Institute of Clinical Pharmacology and University of Tuebingen, Auerbachstr. 112, 70376, Stuttgart, Germany
| | - Markus Kleih
- Dr. Margarete Fischer-Bosch - Institute of Clinical Pharmacology and University of Tuebingen, Auerbachstr. 112, 70376, Stuttgart, Germany
| | - Andrea Gaißler
- Dr. Margarete Fischer-Bosch - Institute of Clinical Pharmacology and University of Tuebingen, Auerbachstr. 112, 70376, Stuttgart, Germany
| | - Damaris Zipperer
- Dr. Margarete Fischer-Bosch - Institute of Clinical Pharmacology and University of Tuebingen, Auerbachstr. 112, 70376, Stuttgart, Germany
| | - Hans-Georg Kopp
- Robert Bosch Hospital, Auerbachstr. 110, 70376, Stuttgart, Germany
- Robert Bosch Center for Tumor Diseases (RBCT), Auerbachstr. 110, 70376, Stuttgart, Germany
| | - Yael Aylon
- Weizmann Institute of Science, 234 Herzl St, Rehovot, Israel
| | - Moshe Oren
- Weizmann Institute of Science, 234 Herzl St, Rehovot, Israel
| | - Frank Essmann
- Dr. Margarete Fischer-Bosch - Institute of Clinical Pharmacology and University of Tuebingen, Auerbachstr. 112, 70376, Stuttgart, Germany
- Robert Bosch Center for Tumor Diseases (RBCT), Auerbachstr. 110, 70376, Stuttgart, Germany
| | - Chunguang Liang
- Department of Bioinformatics, Biocenter Am Hubland, University of Wuerzburg, 97074, Wuerzburg, Germany.
- Institute of Immunology, Jena University Hospital, Friedrich-Schiller-University, Leutragraben 3, 07743, Jena, Germany.
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Eisele AS, Tarbier M, Dormann AA, Pelechano V, Suter DM. Gene-expression memory-based prediction of cell lineages from scRNA-seq datasets. Nat Commun 2024; 15:2744. [PMID: 38553478 PMCID: PMC10980719 DOI: 10.1038/s41467-024-47158-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Accepted: 03/20/2024] [Indexed: 04/02/2024] Open
Abstract
Assigning single cell transcriptomes to cellular lineage trees by lineage tracing has transformed our understanding of differentiation during development, regeneration, and disease. However, lineage tracing is technically demanding, often restricted in time-resolution, and most scRNA-seq datasets are devoid of lineage information. Here we introduce Gene Expression Memory-based Lineage Inference (GEMLI), a computational tool allowing to robustly identify small to medium-sized cell lineages solely from scRNA-seq datasets. GEMLI allows to study heritable gene expression, to discriminate symmetric and asymmetric cell fate decisions and to reconstruct individual multicellular structures from pooled scRNA-seq datasets. In human breast cancer biopsies, GEMLI reveals previously unknown gene expression changes at the onset of cancer invasiveness. The universal applicability of GEMLI allows studying the role of small cell lineages in a wide range of physiological and pathological contexts, notably in vivo. GEMLI is available as an R package on GitHub ( https://github.com/UPSUTER/GEMLI ).
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Affiliation(s)
- A S Eisele
- Ecole Polytechnique Fédérale de Lausanne, School of Life Sciences, Institute of Bioengineering, Lausanne, Switzerland.
| | - M Tarbier
- Science for Life Laboratory, Department of Microbiology, Tumor and Cell Biology, Karolinska Institute, Solna, Sweden
| | - A A Dormann
- Ecole Polytechnique Fédérale de Lausanne, School of Life Sciences, Institute of Bioengineering, Lausanne, Switzerland
| | - V Pelechano
- Science for Life Laboratory, Department of Microbiology, Tumor and Cell Biology, Karolinska Institute, Solna, Sweden
| | - D M Suter
- Ecole Polytechnique Fédérale de Lausanne, School of Life Sciences, Institute of Bioengineering, Lausanne, Switzerland.
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4
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Schaff DL, Fasse AJ, White PE, Vander Velde RJ, Shaffer SM. Clonal differences underlie variable responses to sequential and prolonged treatment. Cell Syst 2024; 15:213-226.e9. [PMID: 38401539 PMCID: PMC11003565 DOI: 10.1016/j.cels.2024.01.011] [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: 03/31/2023] [Revised: 11/14/2023] [Accepted: 01/29/2024] [Indexed: 02/26/2024]
Abstract
Cancer cells exhibit dramatic differences in gene expression at the single-cell level, which can predict whether they become resistant to treatment. Treatment perpetuates this heterogeneity, resulting in a diversity of cell states among resistant clones. However, it remains unclear whether these differences lead to distinct responses when another treatment is applied or the same treatment is continued. In this study, we combined single-cell RNA sequencing with barcoding to track resistant clones through prolonged and sequential treatments. We found that cells within the same clone have similar gene expression states after multiple rounds of treatment. Moreover, we demonstrated that individual clones have distinct and differing fates, including growth, survival, or death, when subjected to a second treatment or when the first treatment is continued. By identifying gene expression states that predict clone survival, this work provides a foundation for selecting optimal therapies that target the most aggressive resistant clones within a tumor. A record of this paper's transparent peer review process is included in the supplemental information.
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Affiliation(s)
- Dylan L Schaff
- Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA 19146, USA
| | - Aria J Fasse
- Department of Chemistry, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA 19146, USA; Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
| | - Phoebe E White
- Department of Chemistry, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA 19146, USA
| | - Robert J Vander Velde
- Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA 19146, USA; Department of Pathology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19146, USA
| | - Sydney M Shaffer
- Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA 19146, USA; Department of Pathology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19146, USA.
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5
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Monavarian M, Page EF, Rajkarnikar R, Kumari A, Macias LQ, Massicano F, Lee NY, Sahoo S, Hempel N, Jolly MK, Ianov L, Worthey E, Singh A, Broude EV, Mythreye K. Development of adaptive anoikis resistance promotes metastasis that can be overcome by CDK8/19 Mediator kinase inhibition. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.12.04.569970. [PMID: 38106208 PMCID: PMC10723298 DOI: 10.1101/2023.12.04.569970] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
Anoikis resistance or evasion of cell death triggered by cell detachment into suspension is a hallmark of cancer that is concurrent with cell survival and metastasis. The effects of frequent matrix detachment encounters on the development of anoikis resistance in cancer remains poorly defined. Here we show using a panel of ovarian cancer models, that repeated exposure to suspension stress in vitro followed by attached recovery growth leads to the development of anoikis resistance paralleling in vivo development of anoikis resistance in ovarian cancer ascites. This resistance is concurrent with enhanced invasion, chemoresistance and the ability of anoikis adapted cells to metastasize to distant sites. Adapted anoikis resistant cells show a heightened dependency on oxidative phosphorylation and can also evade immune surveillance. We find that such acquired anoikis resistance is not genetic, as acquired resistance persists for a finite duration in the absence of suspension stress. Transcriptional reprogramming is however essential to this process, as acquisition of adaptive anoikis resistance in vitro and in vivo is exquisitely sensitive to inhibition of CDK8/19 Mediator kinase, a pleiotropic regulator of transcriptional reprogramming. Our data demonstrate that growth after recovery from repeated exposure to suspension stress is a direct contributor to metastasis and that inhibition of CDK8/19 Mediator kinase during such adaptation provides a therapeutic opportunity to prevent both local and distant metastasis in cancer.
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Affiliation(s)
- Mehri Monavarian
- Division of Molecular Cellular Pathology, Department of Pathology, O’Neal Comprehensive Cancer Center, University of Alabama, Heersink School of Medicine, Birmingham, AL, USA
| | - Emily Faith Page
- Division of Molecular Cellular Pathology, Department of Pathology, O’Neal Comprehensive Cancer Center, University of Alabama, Heersink School of Medicine, Birmingham, AL, USA
| | - Resha Rajkarnikar
- Division of Molecular Cellular Pathology, Department of Pathology, O’Neal Comprehensive Cancer Center, University of Alabama, Heersink School of Medicine, Birmingham, AL, USA
| | - Asha Kumari
- Division of Molecular Cellular Pathology, Department of Pathology, O’Neal Comprehensive Cancer Center, University of Alabama, Heersink School of Medicine, Birmingham, AL, USA
| | - Liz Quintero Macias
- Division of Molecular Cellular Pathology, Department of Pathology, O’Neal Comprehensive Cancer Center, University of Alabama, Heersink School of Medicine, Birmingham, AL, USA
| | - Felipe Massicano
- UAB Biological Data Science Core, The University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Nam Y Lee
- Division of Pharmacology, Chemistry and Biochemistry, College of Medicine, University of Arizona, Tucson, AZ, 85721, USA
| | - Sarthak Sahoo
- Department of Bioengineering, Indian Institute of Science, Bangalore, 560012, India
| | - Nadine Hempel
- Department of Medicine, Division of Hematology Oncology, University of Pittsburgh School of Medicine Pittsburgh PA 15213
| | - Mohit Kumar Jolly
- Department of Bioengineering, Indian Institute of Science, Bangalore, 560012, India
| | - Lara Ianov
- UAB Biological Data Science Core, The University of Alabama at Birmingham, Birmingham, Alabama, USA
- Department of Neurobiology, The University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Elizabeth Worthey
- UAB Biological Data Science Core, The University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Abhyudai Singh
- Department of Electrical and Computer Engineering, University of Delaware, Newark, DE 19716, USA
| | - Eugenia V Broude
- Department of Drug Discovery and Biomedical Sciences, College of Pharmacy, University of South Carolina, Columbia, SC 29208, USA
| | - Karthikeyan Mythreye
- Division of Molecular Cellular Pathology, Department of Pathology, O’Neal Comprehensive Cancer Center, University of Alabama, Heersink School of Medicine, Birmingham, AL, USA
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