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Pozniak J, Pedri D, Landeloos E, Van Herck Y, Antoranz A, Vanwynsberghe L, Nowosad A, Roda N, Makhzami S, Bervoets G, Maciel LF, Pulido-Vicuña CA, Pollaris L, Seurinck R, Zhao F, Flem-Karlsen K, Damsky W, Chen L, Karagianni D, Cinque S, Kint S, Vandereyken K, Rombaut B, Voet T, Vernaillen F, Annaert W, Lambrechts D, Boecxstaens V, Saeys Y, van den Oord J, Bosisio F, Karras P, Shain AH, Bosenberg M, Leucci E, Paschen A, Rambow F, Bechter O, Marine JC. A TCF4-dependent gene regulatory network confers resistance to immunotherapy in melanoma. Cell 2024; 187:166-183.e25. [PMID: 38181739 DOI: 10.1016/j.cell.2023.11.037] [Citation(s) in RCA: 59] [Impact Index Per Article: 59.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Revised: 08/23/2023] [Accepted: 11/29/2023] [Indexed: 01/07/2024]
Abstract
To better understand intrinsic resistance to immune checkpoint blockade (ICB), we established a comprehensive view of the cellular architecture of the treatment-naive melanoma ecosystem and studied its evolution under ICB. Using single-cell, spatial multi-omics, we showed that the tumor microenvironment promotes the emergence of a complex melanoma transcriptomic landscape. Melanoma cells harboring a mesenchymal-like (MES) state, a population known to confer resistance to targeted therapy, were significantly enriched in early on-treatment biopsies from non-responders to ICB. TCF4 serves as the hub of this landscape by being a master regulator of the MES signature and a suppressor of the melanocytic and antigen presentation transcriptional programs. Targeting TCF4 genetically or pharmacologically, using a bromodomain inhibitor, increased immunogenicity and sensitivity of MES cells to ICB and targeted therapy. We thereby uncovered a TCF4-dependent regulatory network that orchestrates multiple transcriptional programs and contributes to resistance to both targeted therapy and ICB in melanoma.
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Affiliation(s)
- Joanna Pozniak
- Laboratory for Molecular Cancer Biology, Center for Cancer Biology, VIB, Leuven, Belgium; Department of Oncology, KU Leuven, Leuven, Belgium.
| | - Dennis Pedri
- Laboratory for Molecular Cancer Biology, Center for Cancer Biology, VIB, Leuven, Belgium; Department of Oncology, KU Leuven, Leuven, Belgium; Laboratory for Membrane Trafficking, Center for Brain and Disease Research, VIB, Leuven, Belgium
| | - Ewout Landeloos
- Laboratory for Molecular Cancer Biology, Center for Cancer Biology, VIB, Leuven, Belgium; Department of Oncology, KU Leuven, Leuven, Belgium; Department of General Medical Oncology, UZ Leuven, Leuven, Belgium
| | | | - Asier Antoranz
- Laboratory of Translational Cell and Tissue Research, Department of Imaging and Pathology, KU Leuven and UZ Leuven, Leuven, Belgium
| | - Lukas Vanwynsberghe
- Laboratory for Molecular Cancer Biology, Center for Cancer Biology, VIB, Leuven, Belgium; Department of Oncology, KU Leuven, Leuven, Belgium
| | - Ada Nowosad
- Laboratory for Molecular Cancer Biology, Center for Cancer Biology, VIB, Leuven, Belgium; Department of Oncology, KU Leuven, Leuven, Belgium
| | - Niccolò Roda
- Laboratory for Molecular Cancer Biology, Center for Cancer Biology, VIB, Leuven, Belgium; Department of Oncology, KU Leuven, Leuven, Belgium
| | - Samira Makhzami
- Laboratory for Molecular Cancer Biology, Center for Cancer Biology, VIB, Leuven, Belgium; Department of Oncology, KU Leuven, Leuven, Belgium
| | - Greet Bervoets
- Laboratory for Molecular Cancer Biology, Center for Cancer Biology, VIB, Leuven, Belgium; Department of Oncology, KU Leuven, Leuven, Belgium
| | - Lucas Ferreira Maciel
- Laboratory for Molecular Cancer Biology, Center for Cancer Biology, VIB, Leuven, Belgium; Department of Oncology, KU Leuven, Leuven, Belgium
| | - Carlos Ariel Pulido-Vicuña
- Laboratory for Molecular Cancer Biology, Center for Cancer Biology, VIB, Leuven, Belgium; Department of Oncology, KU Leuven, Leuven, Belgium
| | - Lotte Pollaris
- Data Mining and Modeling for Biomedicine Group, VIB Center for Inflammation Research, Ghent, Belgium; Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium
| | - Ruth Seurinck
- Data Mining and Modeling for Biomedicine Group, VIB Center for Inflammation Research, Ghent, Belgium; Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium
| | - Fang Zhao
- Laboratory of Molecular Tumor Immunology, Department of Dermatology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany; German Cancer Consortium (DKTK), Partner Site Essen, Essen, Germany
| | - Karine Flem-Karlsen
- Department of Dermatology, Yale University, 15 York Street, New Haven, CT 05610, USA
| | - William Damsky
- Departments of Dermatology and Pathology, Yale University, 15 York Street, New Haven, CT 05610, USA
| | - Limin Chen
- Department of Dermatology, University of California, San Francisco, San Francisco, CA, USA; Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
| | - Despoina Karagianni
- Immune Regulation and Tumor Immunotherapy Group, Cancer Immunology Unit, Research Department of Haematology, UCL Cancer Institute, London WC1E 6DD, UK
| | - Sonia Cinque
- Laboratory for RNA Cancer Biology, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Sam Kint
- Laboratory of Reproductive Genomics, Department of Human Genetics, KU Leuven, Leuven, Belgium; KU Leuven Institute for Single Cell Omics (LISCO), KU Leuven, Leuven, Belgium
| | - Katy Vandereyken
- Laboratory of Reproductive Genomics, Department of Human Genetics, KU Leuven, Leuven, Belgium; KU Leuven Institute for Single Cell Omics (LISCO), KU Leuven, Leuven, Belgium
| | - Benjamin Rombaut
- Data Mining and Modeling for Biomedicine Group, VIB Center for Inflammation Research, Ghent, Belgium; Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium
| | - Thierry Voet
- Laboratory of Reproductive Genomics, Department of Human Genetics, KU Leuven, Leuven, Belgium; KU Leuven Institute for Single Cell Omics (LISCO), KU Leuven, Leuven, Belgium
| | | | - Wim Annaert
- Laboratory for Membrane Trafficking, Center for Brain and Disease Research, VIB, Leuven, Belgium
| | - Diether Lambrechts
- Laboratory of Translational Genetics, Center for Cancer Biology, VIB, Leuven, Belgium; Center for Human Genetics, KU Leuven, Leuven, Belgium
| | | | - Yvan Saeys
- Data Mining and Modeling for Biomedicine Group, VIB Center for Inflammation Research, Ghent, Belgium; Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium
| | - Joost van den Oord
- Laboratory of Translational Cell and Tissue Research, Department of Pathology, UZ Leuven, Leuven, Belgium
| | - Francesca Bosisio
- Laboratory of Translational Cell and Tissue Research, Department of Pathology, UZ Leuven, Leuven, Belgium
| | - Panagiotis Karras
- Laboratory for Molecular Cancer Biology, Center for Cancer Biology, VIB, Leuven, Belgium; Department of Oncology, KU Leuven, Leuven, Belgium
| | - A Hunter Shain
- Department of Dermatology, University of California, San Francisco, San Francisco, CA, USA; Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
| | - Marcus Bosenberg
- Departments of Dermatology, Pathology and Immunobiology, Yale University, New Haven, CT 05610, USA
| | - Eleonora Leucci
- Laboratory for RNA Cancer Biology, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Annette Paschen
- Laboratory of Molecular Tumor Immunology, Department of Dermatology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany; German Cancer Consortium (DKTK), Partner Site Essen, Essen, Germany
| | - Florian Rambow
- Laboratory for Molecular Cancer Biology, Center for Cancer Biology, VIB, Leuven, Belgium; Department of Oncology, KU Leuven, Leuven, Belgium; Department of Applied Computational Cancer Research, Institute for AI in Medicine (IKIM), University Hospital Essen, Essen, Germany; University Duisburg-Essen, Essen, Germany.
| | - Oliver Bechter
- Department of General Medical Oncology, UZ Leuven, Leuven, Belgium.
| | - Jean-Christophe Marine
- Laboratory for Molecular Cancer Biology, Center for Cancer Biology, VIB, Leuven, Belgium; Department of Oncology, KU Leuven, Leuven, Belgium.
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2
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Loras A, Gil-Barrachina M, Marqués-Torrejón MÁ, Perez-Pastor G, Martinez-Cadenas C. UV-Induced Somatic Mutations Driving Clonal Evolution in Healthy Skin, Nevus, and Cutaneous Melanoma. Life (Basel) 2022; 12:life12091339. [PMID: 36143375 PMCID: PMC9503451 DOI: 10.3390/life12091339] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 08/17/2022] [Accepted: 08/26/2022] [Indexed: 11/24/2022] Open
Abstract
Introduction: Due to its aggressiveness, cutaneous melanoma (CM) is responsible for most skin cancer-related deaths worldwide. The origin of CM is closely linked to the appearance of UV-induced somatic mutations in melanocytes present in normal skin or in CM precursor lesions (nevi or dysplastic nevi). In recent years, new NGS studies performed on CM tissue have increased the understanding of the genetic somatic changes underlying melanomagenesis and CM tumor progression. Methods: We reviewed the literature using all important scientific databases. All articles related to genomic mutations in CM as well as normal skin and nevi were included, in particular those related to somatic mutations produced by UV radiation. Conclusions: CM development and progression are strongly associated with exposure to UV radiation, although each melanoma subtype has different characteristic genetic alterations and evolutionary trajectories. While BRAF and NRAS mutations are common in the early stages of tumor development for most CM subtypes, changes in CDKN2A, TP53 and PTEN, together with TERT promoter mutations, are especially common in advanced stages. Additionally, large genome duplications, loss of heterozygosity, and copy number variations are hallmarks of metastatic disease. Finally, the mutations driving melanoma targeted-therapy drug resistance are also summarized. The complete sequential stages of clonal evolution leading to CM onset from normal skin or nevi are still unknown, so further studies are needed in this field to shed light on the molecular pathways involved in CM malignant transformation and in melanoma acquired drug resistance.
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Affiliation(s)
- Alba Loras
- Department of Medicine, University of Valencia, 46010 Valencia, Spain
- Department of Medicine, Jaume I University of Castellon, 12071 Castellon, Spain
| | | | | | - Gemma Perez-Pastor
- Department of Dermatology, Valencia General University Hospital, 46014 Valencia, Spain
| | - Conrado Martinez-Cadenas
- Department of Medicine, Jaume I University of Castellon, 12071 Castellon, Spain
- Correspondence: ; Tel.: +34-964387607
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6
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Prabhakar K, Rodrίguez CI, Jayanthy AS, Mikheil DM, Bhasker AI, Perera RJ, Setaluri V. Role of miR-214 in regulation of β-catenin and the malignant phenotype of melanoma. Mol Carcinog 2019; 58:1974-1984. [PMID: 31338875 DOI: 10.1002/mc.23089] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2019] [Revised: 07/05/2019] [Accepted: 07/10/2019] [Indexed: 12/15/2022]
Abstract
Wnt/β-catenin signaling plays an important role in melanocyte biology, especially in the early stages of melanocyte transformation and melanomagenesis. β-catenin, encoded by the gene CTNNB1, is an intracellular signal transducer of Wnt signaling and activates transcription of genes important for cell proliferation and survival. Wnt/β-catenin signaling is frequently activated in melanoma through oncogenic mutations of β-catenin and elevated β-catenin levels are positively correlated with melanoma aggressiveness. Molecular mechanisms that regulate β-catenin expression in melanoma are not fully understood. MicroRNA-214 is known to function as a tumor suppressor by targeting β-catenin in several types of cancer cells. Here, we investigated the regulation of β-catenin by miR-214 and its role in melanoma. We show that β-catenin mRNA levels are negatively correlated with miR-214 in melanoma. However, overexpression of miR-214 paradoxically increased β-catenin protein levels and promoted malignant properties of melanoma cells including resistance to mitogen-activated protein kinase inhibitors (MAPKi). RNA-seq analysis revealed that melanoma cells predominantly express a β-catenin mRNA isoform lacking miR-214 target site. Using matched miRNA and mRNA-seq and bioinformatics analysis, we identified novel miR-214 targets, ankyrin repeat domain 6 (ANKRD6) and C-terminal binding protein 1 (CTBP1), that are involved in negative regulation of Wnt signaling. Overexpression of miR-214 or knockdown of the novel miR-214 targets, ANKRD6 or CTBP1, increased melanoma cell proliferation, migration, and decreased sensitivity to MAPKi. Our data suggest that in melanoma cells β-catenin is not regulated by miR-214 and the functions of miR-214 in melanoma are mediated partly by regulating proteins involved in attenuation of Wnt/β-catenin signaling.
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Affiliation(s)
- Kirthana Prabhakar
- Department of Dermatology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Carlos I Rodrίguez
- Department of Dermatology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Ashika S Jayanthy
- Department of Dermatology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Dareen M Mikheil
- Department of Dermatology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Aishwarya Iyer Bhasker
- Department of Dermatology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Ranjan J Perera
- Sanford-Burham Prebys Medical Discovery Institute, Orlando, Florida
| | - Vijayasaradhi Setaluri
- Department of Dermatology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin.,William S. Middleton Memorial Veterans Hospital, Madison, Wisconsin
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8
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Kim KB, Semrad T, Schrock AB, Ali SM, Ross JS, Singer M, Kashani-Sabet M. Significant Clinical Response to a MEK Inhibitor Therapy in a Patient With Metastatic Melanoma Harboring an RAF1 Fusion. JCO Precis Oncol 2018; 2:1-6. [PMID: 35135096 DOI: 10.1200/po.17.00138] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Affiliation(s)
- Kevin B Kim
- Kevin B. Kim, Mark Singer, and Mohammed Kashani-Sabet, California Pacific Medical Center Research Institute, San Francisco; Thomas Semrad, Gene Upshaw Memorial Tahoe Forest Cancer Center, Truckee, CA; Alexa B. Schrock, Siraj M. Ali, and Jeffrey S. Ross, Foundation Medicine, Cambridge, MA; and Jeffrey S. Ross, Albany Medical College, Albany, NY
| | - Thomas Semrad
- Kevin B. Kim, Mark Singer, and Mohammed Kashani-Sabet, California Pacific Medical Center Research Institute, San Francisco; Thomas Semrad, Gene Upshaw Memorial Tahoe Forest Cancer Center, Truckee, CA; Alexa B. Schrock, Siraj M. Ali, and Jeffrey S. Ross, Foundation Medicine, Cambridge, MA; and Jeffrey S. Ross, Albany Medical College, Albany, NY
| | - Alexa B Schrock
- Kevin B. Kim, Mark Singer, and Mohammed Kashani-Sabet, California Pacific Medical Center Research Institute, San Francisco; Thomas Semrad, Gene Upshaw Memorial Tahoe Forest Cancer Center, Truckee, CA; Alexa B. Schrock, Siraj M. Ali, and Jeffrey S. Ross, Foundation Medicine, Cambridge, MA; and Jeffrey S. Ross, Albany Medical College, Albany, NY
| | - Siraj M Ali
- Kevin B. Kim, Mark Singer, and Mohammed Kashani-Sabet, California Pacific Medical Center Research Institute, San Francisco; Thomas Semrad, Gene Upshaw Memorial Tahoe Forest Cancer Center, Truckee, CA; Alexa B. Schrock, Siraj M. Ali, and Jeffrey S. Ross, Foundation Medicine, Cambridge, MA; and Jeffrey S. Ross, Albany Medical College, Albany, NY
| | - Jeffrey S Ross
- Kevin B. Kim, Mark Singer, and Mohammed Kashani-Sabet, California Pacific Medical Center Research Institute, San Francisco; Thomas Semrad, Gene Upshaw Memorial Tahoe Forest Cancer Center, Truckee, CA; Alexa B. Schrock, Siraj M. Ali, and Jeffrey S. Ross, Foundation Medicine, Cambridge, MA; and Jeffrey S. Ross, Albany Medical College, Albany, NY
| | - Mark Singer
- Kevin B. Kim, Mark Singer, and Mohammed Kashani-Sabet, California Pacific Medical Center Research Institute, San Francisco; Thomas Semrad, Gene Upshaw Memorial Tahoe Forest Cancer Center, Truckee, CA; Alexa B. Schrock, Siraj M. Ali, and Jeffrey S. Ross, Foundation Medicine, Cambridge, MA; and Jeffrey S. Ross, Albany Medical College, Albany, NY
| | - Mohammed Kashani-Sabet
- Kevin B. Kim, Mark Singer, and Mohammed Kashani-Sabet, California Pacific Medical Center Research Institute, San Francisco; Thomas Semrad, Gene Upshaw Memorial Tahoe Forest Cancer Center, Truckee, CA; Alexa B. Schrock, Siraj M. Ali, and Jeffrey S. Ross, Foundation Medicine, Cambridge, MA; and Jeffrey S. Ross, Albany Medical College, Albany, NY
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