1
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Brombin A, Patton EE. Melanocyte lineage dynamics in development, growth and disease. Development 2024; 151:dev201266. [PMID: 39092608 DOI: 10.1242/dev.201266] [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] [Indexed: 08/04/2024]
Abstract
Melanocytes evolved to produce the melanin that gives colour to our hair, eyes and skin. The melanocyte lineage also gives rise to melanoma, the most lethal form of skin cancer. The melanocyte lineage differentiates from neural crest cells during development, and most melanocytes reside in the skin and hair, where they are replenished by melanocyte stem cells. Because the molecular mechanisms necessary for melanocyte specification, migration, proliferation and differentiation are co-opted during melanoma initiation and progression, studying melanocyte development is directly relevant to human disease. Here, through the lens of advances in cellular omic and genomic technologies, we review the latest findings in melanocyte development and differentiation, and how these developmental pathways become dysregulated in disease.
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Affiliation(s)
- Alessandro Brombin
- MRC Human Genetics Unit, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh EH4 2XU, UK
- Edinburgh Cancer Research, CRUK Scotland Centre, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh EH4 2XU, UK
| | - E Elizabeth Patton
- MRC Human Genetics Unit, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh EH4 2XU, UK
- Edinburgh Cancer Research, CRUK Scotland Centre, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh EH4 2XU, UK
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2
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Lu Y, Travnickova J, Badonyi M, Rambow F, Coates A, Khan Z, Marques J, Murphy LC, Garcia-Martinez P, Marais R, Louphrasitthiphol P, Chan AHY, Schofield CJ, von Kriegsheim A, Marsh JA, Pavet V, Sansom OJ, Illingworth RS, Patton EE. ALDH1A3-acetaldehyde metabolism potentiates transcriptional heterogeneity in melanoma. Cell Rep 2024; 43:114406. [PMID: 38963759 PMCID: PMC11290356 DOI: 10.1016/j.celrep.2024.114406] [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: 09/26/2023] [Revised: 05/08/2024] [Accepted: 06/11/2024] [Indexed: 07/06/2024] Open
Abstract
Cancer cellular heterogeneity and therapy resistance arise substantially from metabolic and transcriptional adaptations, but how these are interconnected is poorly understood. Here, we show that, in melanoma, the cancer stem cell marker aldehyde dehydrogenase 1A3 (ALDH1A3) forms an enzymatic partnership with acetyl-coenzyme A (CoA) synthetase 2 (ACSS2) in the nucleus to couple high glucose metabolic flux with acetyl-histone H3 modification of neural crest (NC) lineage and glucose metabolism genes. Importantly, we show that acetaldehyde is a metabolite source for acetyl-histone H3 modification in an ALDH1A3-dependent manner, providing a physiologic function for this highly volatile and toxic metabolite. In a zebrafish melanoma residual disease model, an ALDH1-high subpopulation emerges following BRAF inhibitor treatment, and targeting these with an ALDH1 suicide inhibitor, nifuroxazide, delays or prevents BRAF inhibitor drug-resistant relapse. Our work reveals that the ALDH1A3-ACSS2 couple directly coordinates nuclear acetaldehyde-acetyl-CoA metabolism with specific chromatin-based gene regulation and represents a potential therapeutic vulnerability in melanoma.
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Affiliation(s)
- Yuting Lu
- MRC Human Genetics Unit, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh EH4 2XU, UK; Edinburgh Cancer Research, CRUK Scotland Centre, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh EH4 2XR, UK
| | - Jana Travnickova
- MRC Human Genetics Unit, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh EH4 2XU, UK; Edinburgh Cancer Research, CRUK Scotland Centre, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh EH4 2XR, UK
| | - Mihaly Badonyi
- MRC Human Genetics Unit, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Florian Rambow
- Department of Applied Computational Cancer Research, Institute for AI in Medicine (IKIM), University Hospital Essen, 45131 Essen, Germany; University of Duisburg-Essen, 45141 Essen, Germany
| | - Andrea Coates
- MRC Human Genetics Unit, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh EH4 2XU, UK; Edinburgh Cancer Research, CRUK Scotland Centre, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh EH4 2XR, UK
| | - Zaid Khan
- Edinburgh Cancer Research, CRUK Scotland Centre, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh EH4 2XR, UK
| | - Jair Marques
- Edinburgh Cancer Research, CRUK Scotland Centre, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh EH4 2XR, UK
| | - Laura C Murphy
- MRC Human Genetics Unit, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Pablo Garcia-Martinez
- Insitute of Genetics and Cancer, The Univeristy of Edinburgh, Edinburgh, EH4 2XU, UK
| | - Richard Marais
- Cancer Research UK Manchester Institute, The University of Manchester, Alderley Park SK10 4TG, UK; Oncodrug Ltd, Alderley Park, Macclesfield SK10 4TG, UK
| | - Pakavarin Louphrasitthiphol
- Ludwig Institute for Cancer Research, Nuffield Department of Clinical Medicine, University of Oxford, Headington, Oxford OX3 7DQ, UK
| | - Alex H Y Chan
- Department of Chemistry and the Ineos Oxford Institute for Antimicrobial Research, Chemistry Research Laboratory, University of Oxford, 12 Mansfield Road, Oxford OX1 5JJ, UK
| | - Christopher J Schofield
- Department of Chemistry and the Ineos Oxford Institute for Antimicrobial Research, Chemistry Research Laboratory, University of Oxford, 12 Mansfield Road, Oxford OX1 5JJ, UK
| | - Alex von Kriegsheim
- Edinburgh Cancer Research, CRUK Scotland Centre, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh EH4 2XR, UK
| | - Joseph A Marsh
- MRC Human Genetics Unit, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Valeria Pavet
- Cancer Research UK Manchester Institute, The University of Manchester, Alderley Park SK10 4TG, UK; Cancer Research UK Beatson Institute, CRUK Scotland Centre, Garscube Estate, Switchback Road, Bearsden Glasgow G61 1BD, UK
| | - Owen J Sansom
- Cancer Research UK Beatson Institute, CRUK Scotland Centre, Garscube Estate, Switchback Road, Bearsden Glasgow G61 1BD, UK; School of Cancer Sciences, University of Glasgow, Glasgow G12 0ZD, UK
| | - Robert S Illingworth
- Centre for Regenerative Medicine, Institute for Regeneration and Repair, The University of Edinburgh, Edinburgh BioQuarter, Edinburgh EH16 4UU, UK
| | - E Elizabeth Patton
- MRC Human Genetics Unit, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh EH4 2XU, UK; Edinburgh Cancer Research, CRUK Scotland Centre, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh EH4 2XR, UK.
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3
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Robertson BM, Fane ME, Weeraratna AT, Rebecca VW. Determinants of resistance and response to melanoma therapy. NATURE CANCER 2024; 5:964-982. [PMID: 39020103 DOI: 10.1038/s43018-024-00794-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Accepted: 06/05/2024] [Indexed: 07/19/2024]
Abstract
Metastatic melanoma is among the most enigmatic advanced cancers to clinically manage despite immense progress in the way of available therapeutic options and historic decreases in the melanoma mortality rate. Most patients with metastatic melanoma treated with modern targeted therapies (for example, BRAFV600E/K inhibitors) and/or immune checkpoint blockade (for example, anti-programmed death 1 therapy) will progress, owing to profound tumor cell plasticity fueled by genetic and nongenetic mechanisms and dichotomous host microenvironmental influences. Here we discuss the determinants of tumor heterogeneity, mechanisms of therapy resistance and effective therapy regimens that hold curative promise.
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Affiliation(s)
- Bailey M Robertson
- Department of Biochemistry and Molecular Biology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Mitchell E Fane
- Department of Biochemistry and Molecular Biology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Ashani T Weeraratna
- Department of Biochemistry and Molecular Biology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Vito W Rebecca
- Department of Biochemistry and Molecular Biology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.
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4
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Di Leo L, Pagliuca C, Kishk A, Rizza S, Tsiavou C, Pecorari C, Dahl C, Pacheco MP, Tholstrup R, Brewer JR, Berico P, Hernando E, Cecconi F, Ballotti R, Bertolotto C, Filomeni G, Gjerstorff MF, Sauter T, Lovat P, Guldberg P, De Zio D. AMBRA1 levels predict resistance to MAPK inhibitors in melanoma. Proc Natl Acad Sci U S A 2024; 121:e2400566121. [PMID: 38870061 PMCID: PMC11194594 DOI: 10.1073/pnas.2400566121] [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: 01/16/2024] [Accepted: 05/20/2024] [Indexed: 06/15/2024] Open
Abstract
Intrinsic and acquired resistance to mitogen-activated protein kinase inhibitors (MAPKi) in melanoma remains a major therapeutic challenge. Here, we show that the clinical development of resistance to MAPKi is associated with reduced tumor expression of the melanoma suppressor Autophagy and Beclin 1 Regulator 1 (AMBRA1) and that lower expression levels of AMBRA1 predict a poor response to MAPKi treatment. Functional analyses show that loss of AMBRA1 induces phenotype switching and orchestrates an extracellular signal-regulated kinase (ERK)-independent resistance mechanism by activating focal adhesion kinase 1 (FAK1). In both in vitro and in vivo settings, melanomas with low AMBRA1 expression exhibit intrinsic resistance to MAPKi therapy but higher sensitivity to FAK1 inhibition. Finally, we show that the rapid development of resistance in initially MAPKi-sensitive melanomas can be attributed to preexisting subclones characterized by low AMBRA1 expression and that cotreatment with MAPKi and FAK1 inhibitors (FAKi) effectively prevents the development of resistance in these tumors. In summary, our findings underscore the value of AMBRA1 expression for predicting melanoma response to MAPKi and supporting the therapeutic efficacy of FAKi to overcome MAPKi-induced resistance.
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Affiliation(s)
- Luca Di Leo
- Melanoma Research Team, Center for Autophagy, Recycling and Disease, Danish Cancer Institute, Copenhagen2100, Denmark
| | - Chiara Pagliuca
- Melanoma Research Team, Center for Autophagy, Recycling and Disease, Danish Cancer Institute, Copenhagen2100, Denmark
| | - Ali Kishk
- Department of Life Sciences and Medicine, University of Luxembourg, Belvaux4365, Luxembourg
| | - Salvatore Rizza
- Redox Biology Group, Danish Cancer Institute, Copenhagen2100, Denmark
| | - Christina Tsiavou
- Melanoma Research Team, Center for Autophagy, Recycling and Disease, Danish Cancer Institute, Copenhagen2100, Denmark
| | - Chiara Pecorari
- Redox Biology Group, Danish Cancer Institute, Copenhagen2100, Denmark
| | - Christina Dahl
- Molecular Diagnostics Group, Danish Cancer Institute, Copenhagen2100, Denmark
| | - Maria Pires Pacheco
- Department of Life Sciences and Medicine, University of Luxembourg, Belvaux4365, Luxembourg
| | - Rikke Tholstrup
- Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense5230, Denmark
| | - Jonathan Richard Brewer
- Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense5230, Denmark
| | - Pietro Berico
- Department of Pathology, New York University Grossman School of Medicine, New York, NY10016
| | - Eva Hernando
- Department of Pathology, New York University Grossman School of Medicine, New York, NY10016
| | - Francesco Cecconi
- Cell Stress and Survival, Center for Autophagy, Recycling and Disease, Danish Cancer Institute, Copenhagen2100, Denmark
- Faculty of Medicine and Surgery, Università Cattolica del “Sacro Cuore”, Fondazione Policlinico Gemelli—Istituti di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome00136, Italy
| | - Robert Ballotti
- Université Côte d’Azur, Nice06200, France
- Inserm, Biology and Pathologies of melanocytes, team1, Equipe labellisée Ligue 2020, Centre Méditerranéen de Médecine Moléculaire, Nice06200, France
| | - Corine Bertolotto
- Université Côte d’Azur, Nice06200, France
- Inserm, Biology and Pathologies of melanocytes, team1, Equipe labellisée Ligue 2020, Centre Méditerranéen de Médecine Moléculaire, Nice06200, France
| | - Giuseppe Filomeni
- Redox Biology Group, Danish Cancer Institute, Copenhagen2100, Denmark
| | - Morten Frier Gjerstorff
- Department of Cancer and Inflammation Research, Institute of Molecular Medicine, University of Southern Denmark, Odense5230, Denmark
- Department of Oncology, Odense University Hospital, Odense5000, Denmark
| | - Thomas Sauter
- Department of Life Sciences and Medicine, University of Luxembourg, Belvaux4365, Luxembourg
| | - Penny Lovat
- Translational and Clinical Research Institute, Medical School, Newcastle University, Newcastle upon TyneNE2 4HH, United Kingdom
| | - Per Guldberg
- Molecular Diagnostics Group, Danish Cancer Institute, Copenhagen2100, Denmark
- Department of Cancer and Inflammation Research, Institute of Molecular Medicine, University of Southern Denmark, Odense5230, Denmark
| | - Daniela De Zio
- Melanoma Research Team, Center for Autophagy, Recycling and Disease, Danish Cancer Institute, Copenhagen2100, Denmark
- Department of Cancer and Inflammation Research, Institute of Molecular Medicine, University of Southern Denmark, Odense5230, Denmark
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Durand S, Tang Y, Pommier RM, Benboubker V, Grimont M, Boivin F, Barbollat-Boutrand L, Cumunel E, Dupeuble F, Eberhardt A, Plaschka M, Dalle S, Caramel J. ZEB1 controls a lineage-specific transcriptional program essential for melanoma cell state transitions. Oncogene 2024; 43:1489-1505. [PMID: 38519642 PMCID: PMC11090790 DOI: 10.1038/s41388-024-03010-7] [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: 11/01/2023] [Accepted: 03/06/2024] [Indexed: 03/25/2024]
Abstract
Cell plasticity sustains intra-tumor heterogeneity and treatment resistance in melanoma. Deciphering the transcriptional mechanisms governing reversible phenotypic transitions between proliferative/differentiated and invasive/stem-like states is required. Expression of the ZEB1 transcription factor is frequently activated in melanoma, where it fosters adaptive resistance to targeted therapies. Here, we performed a genome-wide characterization of ZEB1 transcriptional targets, by combining ChIP-sequencing and RNA-sequencing, upon phenotype switching in melanoma models. We identified and validated ZEB1 binding peaks in the promoter of key lineage-specific genes crucial for melanoma cell identity. Mechanistically, ZEB1 negatively regulates SOX10-MITF dependent proliferative/melanocytic programs and positively regulates AP-1 driven invasive and stem-like programs. Comparative analyses with breast carcinoma cells revealed lineage-specific ZEB1 binding, leading to the design of a more reliable melanoma-specific ZEB1 regulon. We then developed single-cell spatial multiplexed analyses to characterize melanoma cell states intra-tumoral heterogeneity in human melanoma samples. Combined with scRNA-Seq analyses, our findings confirmed increased ZEB1 expression in Neural-Crest-like cells and mesenchymal cells, underscoring its significance in vivo in both populations. Overall, our results define ZEB1 as a major transcriptional regulator of cell states transitions and provide a better understanding of lineage-specific transcriptional programs sustaining intra-tumor heterogeneity in melanoma.
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Affiliation(s)
- Simon Durand
- "Cancer cell Plasticity in Melanoma" lab, Centre de Recherche en Cancérologie de Lyon, INSERM U1052-CNRS UMR5286, Centre Léon Bérard, Université de Lyon, Université Claude Bernard Lyon1, 69008, Lyon, France
| | - Yaqi Tang
- "Cancer cell Plasticity in Melanoma" lab, Centre de Recherche en Cancérologie de Lyon, INSERM U1052-CNRS UMR5286, Centre Léon Bérard, Université de Lyon, Université Claude Bernard Lyon1, 69008, Lyon, France
| | - Roxane M Pommier
- Fondation Synergie Lyon Cancer, Plateforme de bio-informatique Gilles Thomas, Centre de Recherche en Cancérologie de Lyon, Centre Léon Bérard, INSERM U1052-CNRS UMR5286, Université de Lyon, Université Claude Bernard Lyon1, 69008, Lyon, France
| | - Valentin Benboubker
- "Cancer cell Plasticity in Melanoma" lab, Centre de Recherche en Cancérologie de Lyon, INSERM U1052-CNRS UMR5286, Centre Léon Bérard, Université de Lyon, Université Claude Bernard Lyon1, 69008, Lyon, France
| | - Maxime Grimont
- "Cancer cell Plasticity in Melanoma" lab, Centre de Recherche en Cancérologie de Lyon, INSERM U1052-CNRS UMR5286, Centre Léon Bérard, Université de Lyon, Université Claude Bernard Lyon1, 69008, Lyon, France
| | - Felix Boivin
- "Cancer cell Plasticity in Melanoma" lab, Centre de Recherche en Cancérologie de Lyon, INSERM U1052-CNRS UMR5286, Centre Léon Bérard, Université de Lyon, Université Claude Bernard Lyon1, 69008, Lyon, France
| | - Laetitia Barbollat-Boutrand
- "Cancer cell Plasticity in Melanoma" lab, Centre de Recherche en Cancérologie de Lyon, INSERM U1052-CNRS UMR5286, Centre Léon Bérard, Université de Lyon, Université Claude Bernard Lyon1, 69008, Lyon, France
| | - Eric Cumunel
- Fondation Synergie Lyon Cancer, Plateforme de bio-informatique Gilles Thomas, Centre de Recherche en Cancérologie de Lyon, Centre Léon Bérard, INSERM U1052-CNRS UMR5286, Université de Lyon, Université Claude Bernard Lyon1, 69008, Lyon, France
| | - Florian Dupeuble
- "Cancer cell Plasticity in Melanoma" lab, Centre de Recherche en Cancérologie de Lyon, INSERM U1052-CNRS UMR5286, Centre Léon Bérard, Université de Lyon, Université Claude Bernard Lyon1, 69008, Lyon, France
| | - Anaïs Eberhardt
- "Cancer cell Plasticity in Melanoma" lab, Centre de Recherche en Cancérologie de Lyon, INSERM U1052-CNRS UMR5286, Centre Léon Bérard, Université de Lyon, Université Claude Bernard Lyon1, 69008, Lyon, France
- Dermatology Unit, Hospices Civils de Lyon, CH Lyon Sud, 165 chemin du Grand Revoyet, 69495, Pierre Bénite, Cedex, France
| | - Maud Plaschka
- "Cancer cell Plasticity in Melanoma" lab, Centre de Recherche en Cancérologie de Lyon, INSERM U1052-CNRS UMR5286, Centre Léon Bérard, Université de Lyon, Université Claude Bernard Lyon1, 69008, Lyon, France
| | - Stéphane Dalle
- "Cancer cell Plasticity in Melanoma" lab, Centre de Recherche en Cancérologie de Lyon, INSERM U1052-CNRS UMR5286, Centre Léon Bérard, Université de Lyon, Université Claude Bernard Lyon1, 69008, Lyon, France
- Dermatology Unit, Hospices Civils de Lyon, CH Lyon Sud, 165 chemin du Grand Revoyet, 69495, Pierre Bénite, Cedex, France
| | - Julie Caramel
- "Cancer cell Plasticity in Melanoma" lab, Centre de Recherche en Cancérologie de Lyon, INSERM U1052-CNRS UMR5286, Centre Léon Bérard, Université de Lyon, Université Claude Bernard Lyon1, 69008, Lyon, France.
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6
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Guo Y, Zhou Q, Wei M, Fan J, Huang H. Association of TNFRSF19 with a TNF family-based prognostic model and subtypes in gliomas using machine learning. Heliyon 2024; 10:e28445. [PMID: 38560169 PMCID: PMC10979244 DOI: 10.1016/j.heliyon.2024.e28445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2023] [Revised: 03/18/2024] [Accepted: 03/19/2024] [Indexed: 04/04/2024] Open
Abstract
Purpose TNF family members (TFMs) play a crucial role in different types of cancers, with TNF Receptor Superfamily Member 19 (TNFRSF19) standing out as a particularly important member in this category. Further research is necessary to investigate the potential impact of TFMs on prognosis prediction and to elucidate the function and potential therapeutic targets linked to TNFRSF19 expression in gliomas. Methods Three databases provided the data on gene expression and clinical information. Fourteen prognostic members were found through univariate Cox analysis and subsequently utilized to construct TFMs-based model in LASSO and multivariate Cox analyses. TFMs-based subtypes based on the expression profile were identified using an unsupervised clustering method. Machine learning algorithm identified key genes linked to prognostic model and subtype. A sequence of immune infiltrations was evaluated using the ssGSEA and ESTIMATE algorithms. Immunohistochemistry was used to examine the patterns of expression and the clinical significance of TNFRSF19. Results Our development of a prognostic model and subtypes based on the TNF family was successful, resulting in accurate predictions of prognosis. The findings indicate that TNFRSF19 exhibited strong performance. Upregulation of TNFRSF19 was correlated with malignant phenotypes and poor prognosis, which was confirmed through immunohistochemistry. TNFRSF19 played a role in reshaping the immunosuppressive microenvironment in gliomas, and multiple drug-targeted TNFRSF19 molecules were identified. Conclusions The TMF-based prognostic model and subtype can facilitate treatment decisions for glioma. TNFRSF19 is an outstanding representative of a predictor of prognosis and immunotherapy effect in gliomas.
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Affiliation(s)
- Youwei Guo
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan Province, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Quanwei Zhou
- The National Key Clinical Specialty, The Engineering Technology Research Center of Education Ministry of China, Guangdong Provincial Key Laboratory on Brain Function Repair and Regeneration, Department of Neurosurgery, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China
| | - Min Wei
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan Province, China
| | - Jianfeng Fan
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan Province, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - He Huang
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan Province, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
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7
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Lu D, Mihoayi M, Ablikim Y, Arikin A. RNA splicing regulator EIF3D regulates the tumor microenvironment through immunogene-related alternative splicing in head and neck squamous cell carcinoma. Aging (Albany NY) 2024; 16:5929-5948. [PMID: 38535990 PMCID: PMC11042944 DOI: 10.18632/aging.205681] [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: 10/18/2023] [Accepted: 02/27/2024] [Indexed: 04/23/2024]
Abstract
Study finds that eukaryotic translation initiation factor 3 subunit D (EIF3D) may play an important role in aberrant alternative splicing (AS) events in tumors. AS possesses a pivotal role in both tumour progression and the constitution of the tumour microenvironment (TME). Regrettably, our current understanding of AS remains circumscribed especially in the context of immunogene-related alternative splicing (IGAS) profiles within Head and Neck Squamous Cell Carcinoma (HNSC). In this study, we comprehensively analyzed the function and mechanism of action of EIF3D by bioinformatics analysis combined with in vitro cellular experiments, and found that high expression of EIF3D in HNSC was associated with poor prognosis of overall survival (OS) and progression-free survival (PFS). The EIF3D low expression group had a higher degree of immune infiltration and better efficacy against PD1 and CTLA4 immunotherapy compared to the EIF3D high expression group. TCGA SpliceSeq analysis illustrated that EIF3D influenced differentially spliced alternative splicing (DSAS) events involving 105 differentially expressed immunogenes (DEIGs). We observed an induction of apoptosis and a suppression of cell proliferation, migration, and invasion in EIF3D knock-down FaDu cells. RNA-seq analysis unveiled that 531 genes exhibited differential expression following EIF3D knockdown in FaDu cells. These include 52 DEIGs. Furthermore, EIF3D knockdown influenced the patterns of 1923 alternative splicing events (ASEs), encompassing 129 IGASs. This study identified an RNA splicing regulator and revealed its regulatory role in IGAS and the TME of HNSC, suggesting that EIF3D may be a potential target for predicting HNSC prognosis and immunotherapeutic response.
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Affiliation(s)
- Dandan Lu
- Otolaryngology Diagnosis and Treatment Center, People’s Hospital of Xinjiang Uygur Autonomous Region, Urumqi 830000, China
- Department of Otolaryngology, Shaanxi Nuclear Industry 215 Hospital, Xianyang 712000, China
| | - Mijti Mihoayi
- Otolaryngology Diagnosis and Treatment Center, People’s Hospital of Xinjiang Uygur Autonomous Region, Urumqi 830000, China
| | - Yimin Ablikim
- Otolaryngology Diagnosis and Treatment Center, People’s Hospital of Xinjiang Uygur Autonomous Region, Urumqi 830000, China
| | - Abdeyrim Arikin
- Otolaryngology Diagnosis and Treatment Center, People’s Hospital of Xinjiang Uygur Autonomous Region, Urumqi 830000, China
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8
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Maltas J, Tadele DS, Durmaz A, McFarland CD, Hinczewski M, Scott JG. Frequency-dependent ecological interactions increase the prevalence, and shape the distribution, of pre-existing drug resistance. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.03.16.533001. [PMID: 36993678 PMCID: PMC10055114 DOI: 10.1101/2023.03.16.533001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
The evolution of resistance remains one of the primary challenges for modern medicine from infectious diseases to cancers. Many of these resistance-conferring mutations often carry a substantial fitness cost in the absence of treatment. As a result, we would expect these mutants to undergo purifying selection and be rapidly driven to extinction. Nevertheless, pre-existing resistance is frequently observed from drug-resistant malaria to targeted cancer therapies in non-small cell lung cancer (NSCLC) and melanoma. Solutions to this apparent paradox have taken several forms from spatial rescue to simple mutation supply arguments. Recently, in an evolved resistant NSCLC cell line, we found that frequency-dependent ecological interactions between ancestor and resistant mutant ameliorate the cost of resistance in the absence of treatment. Here, we hypothesize that frequency-dependent ecological interactions in general play a major role in the prevalence of pre-existing resistance. We combine numerical simulations with robust analytical approximations to provide a rigorous mathematical framework for studying the effects of frequency-dependent ecological interactions on the evolutionary dynamics of pre-existing resistance. First, we find that ecological interactions significantly expand the parameter regime under which we expect to observe pre-existing resistance. Next, even when positive ecological interactions between mutants and ancestors are rare, these resistant clones provide the primary mode of evolved resistance because even weak positive interaction leads to significantly longer extinction times. We then find that even in the case where mutation supply alone is sufficient to predict pre-existing resistance, frequency-dependent ecological forces still contribute a strong evolutionary pressure that selects for increasingly positive ecological effects (negative frequency-dependent selection). Finally, we genetically engineer several of the most common clinically observed resistance mechanisms to targeted therapies in NSCLC, a treatment notorious for pre-existing resistance. We find that each engineered mutant displays a positive ecological interaction with their ancestor. As a whole, these results suggest that frequency-dependent ecological effects can play a crucial role in shaping the evolutionary dynamics of pre-existing resistance.
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Affiliation(s)
- Jeff Maltas
- Cleveland Clinic, Translational Hematology Oncology Research, Cleveland, OH
- Case Western Reserve University, School of Medicine, Cleveland, OH
| | - Dagim Shiferaw Tadele
- Cleveland Clinic, Translational Hematology Oncology Research, Cleveland, OH
- Oslo University Hospital, Ullevål, Department of Medical Genetics, Oslo, Norway
| | - Arda Durmaz
- Cleveland Clinic, Translational Hematology Oncology Research, Cleveland, OH
| | - Christopher D. McFarland
- Case Western Reserve University, School of Medicine, Cleveland, OH
- Case Comprehensive Cancer Center, Cleveland, OH
| | | | - Jacob G. Scott
- Cleveland Clinic, Translational Hematology Oncology Research, Cleveland, OH
- Case Western Reserve University, School of Medicine, Cleveland, OH
- Case Western Reserve University, Department of Physics, Cleveland, OH
- Case Comprehensive Cancer Center, Cleveland, OH
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9
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Tao ZY, Wang L, Zhu WY, Zhang G, Su YX. Lingual Denervation Improves the Efficacy of Anti-PD-1 Immunotherapy in Oral Squamous Cell Carcinomas by Downregulating TGFβ Signaling. CANCER RESEARCH COMMUNICATIONS 2024; 4:418-430. [PMID: 38324026 PMCID: PMC10868515 DOI: 10.1158/2767-9764.crc-23-0192] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Revised: 09/14/2023] [Accepted: 02/02/2024] [Indexed: 02/08/2024]
Abstract
PURPOSE Intratumoral nerve infiltration relates to tumor progression and poor survival in oral squamous cell carcinoma (OSCC). How neural involvement regulates antitumor immunity has not been well characterized. This study aims to investigate molecular mechanisms of regulating tumor aggressiveness and impairing antitumor immunity by nerve-derived factors. EXPERIMENTAL DESIGN We performed the surgical lingual denervation in an immunocompetent mouse OSCC model to investigate its effect on tumor growth and the efficacy of anti-PD-1 immunotherapy. A trigeminal ganglion neuron and OSCC cell coculture system was established to investigate the proliferation, migration, and invasion of tumor cells and the PD-L1 expression. Both the neuron-tumor cell coculture in vitro model and the OSCC animal model were explored. RESULTS Lingual denervation slowed down tumor growth and improved the efficacy of anti-PD-1 treatment in the OSCC model. Coculturing with neurons not only enhanced the proliferation, migration, and invasion but also upregulated TGFβ-SMAD2 signaling and PD-L1 expression of tumor cells. Treatment with the TGFβ signaling inhibitor galunisertib reversed nerve-derived tumor aggressiveness and downregulated PD-L1 on tumor cells. Similarly, lingual denervation in vivo decreased TGFβ and PD-L1 expression and increased CD8+ T-cell infiltration and the expression of IFNγ and TNFα within tumor. CONCLUSIONS Neural involvement enhanced tumor aggressiveness through upregulating TGFβ signaling and PD-L1 expression in OSCC, while denervation of OSCC inhibited tumor growth, downregulated TGFβ signaling, enhanced activities of CD8+ T cells, and improved the efficacy of anti-PD-1 immunotherapy. This study will encourage further research focusing on denervation as a potential adjuvant therapeutic approach in OSCC. SIGNIFICANCE This study revealed the specific mechanisms for nerve-derived cancer progression and impaired antitumor immunity in OSCC, providing a novel insight into the cancer-neuron-immune network as well as pointing the way for new strategies targeting nerve-cancer cross-talk as a potential adjuvant therapeutic approach for OSCC.
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Affiliation(s)
- Zhuo-Ying Tao
- Division of Oral and Maxillofacial Surgery, Faculty of Dentistry, The University of Hong Kong, Hong Kong
| | - Leilei Wang
- Division of Oral and Maxillofacial Surgery, Faculty of Dentistry, The University of Hong Kong, Hong Kong
| | - Wang-Yong Zhu
- Division of Oral and Maxillofacial Surgery, Faculty of Dentistry, The University of Hong Kong, Hong Kong
| | - Gao Zhang
- Division of Applied Oral Sciences and Community Dental Care, Faculty of Dentistry, The University of Hong Kong, Hong Kong
| | - Yu-Xiong Su
- Division of Oral and Maxillofacial Surgery, Faculty of Dentistry, The University of Hong Kong, Hong Kong
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10
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Shirley CA, Chhabra G, Amiri D, Chang H, Ahmad N. Immune escape and metastasis mechanisms in melanoma: breaking down the dichotomy. Front Immunol 2024; 15:1336023. [PMID: 38426087 PMCID: PMC10902921 DOI: 10.3389/fimmu.2024.1336023] [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: 11/09/2023] [Accepted: 01/24/2024] [Indexed: 03/02/2024] Open
Abstract
Melanoma is one of the most lethal neoplasms of the skin. Despite the revolutionary introduction of immune checkpoint inhibitors, metastatic spread, and recurrence remain critical problems in resistant cases. Melanoma employs a multitude of mechanisms to subvert the immune system and successfully metastasize to distant organs. Concerningly, recent research also shows that tumor cells can disseminate early during melanoma progression and enter dormant states, eventually leading to metastases at a future time. Immune escape and metastasis have previously been viewed as separate phenomena; however, accumulating evidence is breaking down this dichotomy. Recent research into the progressive mechanisms of melanoma provides evidence that dedifferentiation similar to classical epithelial to mesenchymal transition (EMT), genes involved in neural crest stem cell maintenance, and hypoxia/acidosis, are important factors simultaneously involved in immune escape and metastasis. The likeness between EMT and early dissemination, and differences, also become apparent in these contexts. Detailed knowledge of the mechanisms behind "dual drivers" simultaneously promoting metastatically inclined and immunosuppressive environments can yield novel strategies effective in disabling multiple facets of melanoma progression. Furthermore, understanding progression through these drivers may provide insight towards novel treatments capable of preventing recurrence arising from dormant dissemination or improving immunotherapy outcomes.
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Affiliation(s)
- Carl A Shirley
- Department of Dermatology, University of Wisconsin, Madison, WI, United States
| | - Gagan Chhabra
- Department of Dermatology, University of Wisconsin, Madison, WI, United States
| | - Deeba Amiri
- Department of Dermatology, University of Wisconsin, Madison, WI, United States
| | - Hao Chang
- Department of Dermatology, University of Wisconsin, Madison, WI, United States
- William S. Middleton Memorial Veterans Hospital, Madison, WI, United States
| | - Nihal Ahmad
- Department of Dermatology, University of Wisconsin, Madison, WI, United States
- William S. Middleton Memorial Veterans Hospital, Madison, WI, United States
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11
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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: 8] [Impact Index Per Article: 8.0] [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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12
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Li Z, Jia LI, Zhou HR, Zhang LU, Zhang M, Lv J, Deng ZY, Liu C. Development and Validation of Potential Molecular Subtypes and Signatures of Thyroid Carcinoma Based on Aging-related Gene Analysis. Cancer Genomics Proteomics 2024; 21:102-117. [PMID: 38151291 PMCID: PMC10756346 DOI: 10.21873/cgp.20433] [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: 10/12/2023] [Revised: 11/21/2023] [Accepted: 11/24/2023] [Indexed: 12/29/2023] Open
Abstract
BACKGROUND/AIM Thyroid carcinoma (THCA) is a cancer of the endocrine system that most commonly affects women. Aging-associated genes play a critical role in various cancers. Therefore, we aimed to gain insight into the molecular subtypes of thyroid cancer and whether senescence-related genes can predict the overall prognosis of THCA patients. MATERIALS AND METHODS Thyroid carcinoma (THCA) transcriptome-related expression profiles were obtained from The Cancer Genome Atlas (TCGA) database. These profiles were randomly divided into training and validation subsets at a ratio of 1:1. Unsupervised clustering algorithms were used to compare differences between the two subtypes; prognosis-related senescence genes were used to further construct our prognostic models by univariate and multivariate Cox analyses and construct a nomogram to predict the 1-, 3-, and 5-year overall survival probability of THCA patients. In addition, we performed gene set enrichment analysis (GSEA) to predict the immune microenvironment and somatic mutations between the different risk groups. Finally, real-time PCR was used to verify the expression levels of key model genes. RESULTS The 'ConsensusClusterPlus' R package was used to cluster thyroid cancer into two categories (Cluster1 and Cluster2) on the basis of 46 differentially expressed aging-related genes (DE-ARGs); patients in Cluster1 demonstrated a better prognosis than those in Cluster2. Cox analysis was used to screen six prognosis-related DE-ARGs. Finally, our real-time PCR results confirmed our hypothesis. CONCLUSION Differences exist between the two subtypes of thyroid cancer that help guide treatment decisions. The six DE-ARG genes have a high predictive value for risk stratifying THCA patients.
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Affiliation(s)
- Zhi Li
- Department of Nuclear Medicine, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Kunming, P.R. China
| | - L I Jia
- Department of Nuclear Medicine, Affiliated Hospital of Yunnan University, Kunming, P.R. China
| | - Huang-Ren Zhou
- Department of Nuclear Medicine, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Kunming, P.R. China
| | - L U Zhang
- Department of Nuclear Medicine, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Kunming, P.R. China
| | - Meng Zhang
- Department of Nuclear Medicine, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Kunming, P.R. China
| | - Juan Lv
- Department of Nuclear Medicine, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Kunming, P.R. China
| | - Zhi-Yong Deng
- Department of Nuclear Medicine, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Kunming, P.R. China
| | - Chao Liu
- Department of Nuclear Medicine, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Kunming, P.R. China;
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13
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Hibler W, Merlino G, Yu Y. CAR NK Cell Therapy for the Treatment of Metastatic Melanoma: Potential & Prospects. Cells 2023; 12:2750. [PMID: 38067178 PMCID: PMC10706172 DOI: 10.3390/cells12232750] [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: 10/25/2023] [Revised: 11/22/2023] [Accepted: 11/26/2023] [Indexed: 12/18/2023] Open
Abstract
Melanoma is among the most lethal forms of cancer, accounting for 80% of deaths despite comprising just 5% of skin cancer cases. Treatment options remain limited due to the genetic and epigenetic mechanisms associated with melanoma heterogeneity that underlie the rapid development of secondary drug resistance. For this reason, the development of novel treatments remains paramount to the improvement of patient outcomes. Although the advent of chimeric antigen receptor-expressing T (CAR-T) cell immunotherapies has led to many clinical successes for hematological malignancies, these treatments are limited in their utility by their immune-induced side effects and a high risk of systemic toxicities. CAR natural killer (CAR-NK) cell immunotherapies are a particularly promising alternative to CAR-T cell immunotherapies, as they offer a more favorable safety profile and have the capacity for fine-tuned cytotoxic activity. In this review, the discussion of the prospects and potential of CAR-NK cell immunotherapies touches upon the clinical contexts of melanoma, the immunobiology of NK cells, the immunosuppressive barriers preventing endogenous immune cells from eliminating tumors, and the structure and design of chimeric antigen receptors, then finishes with a series of proposed design innovations that could improve the efficacy CAR-NK cell immunotherapies in future studies.
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Affiliation(s)
| | | | - Yanlin Yu
- Laboratory of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
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14
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Sun L, Kang X, Ju H, Wang C, Yang G, Wang R, Sun S. A human mucosal melanoma organoid platform for modeling tumor heterogeneity and exploring immunotherapy combination options. SCIENCE ADVANCES 2023; 9:eadg6686. [PMID: 37889972 PMCID: PMC10610903 DOI: 10.1126/sciadv.adg6686] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 09/26/2023] [Indexed: 10/29/2023]
Abstract
Mucosal melanoma (MM), an aggressive rare subtype of melanoma, is distinct from cutaneous melanoma and has poor prognoses. We addressed the lack of cell models for MM by establishing 30 organoids of human oral MM (OMM), which retained major histopathological and functional features of parental tumors. Organoid groups derived from chronologically or intratumorally distinct lesions within the same individual displayed heterogeneous genetics, expression profiles, and drug responses, indicating rapid tumor evolution and poor clinical response. Furthermore, transcriptome analysis revealed receptor tyrosine kinases (RTKs) signaling, particularly NGFR, a nerve growth factor receptor, was significantly up-regulated in OMMs and organoids from patients resistant to anti-programmed cell death protein 1 (anti-PD-1) therapy. Combining anti-PD-1 with anlotinib (a phase 2 multitarget RTK inhibitor for OMM) or NGFR knockdown enhanced the effective activity of immune cells in organoid-immune cell coculture systems. Together, our study suggested that OMM organoids serve as faithful models for exploring tumor evolution and immunotherapy combination strategies.
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Affiliation(s)
- Lulu Sun
- Department of Oral and Maxillofacial-Head Neck Oncology, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China
- College of Stomatology, Shanghai Jiao Tong University, National Center for Stomatology, National Clinical Research Center for Oral Diseases, Shanghai Key Laboratory of Stomatology, Shanghai 200011, China
- Shanghai Research Institute of Stomatology, Research Unit of Oral and Maxillofacial Regenerative Medicine, Chinese Academy of Medical Sciences, Shanghai 200011, China
| | - Xindan Kang
- Department of Oral and Maxillofacial-Head Neck Oncology, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China
- College of Stomatology, Shanghai Jiao Tong University, National Center for Stomatology, National Clinical Research Center for Oral Diseases, Shanghai Key Laboratory of Stomatology, Shanghai 200011, China
- Shanghai Research Institute of Stomatology, Research Unit of Oral and Maxillofacial Regenerative Medicine, Chinese Academy of Medical Sciences, Shanghai 200011, China
| | - Houyu Ju
- Department of Oral and Maxillofacial-Head Neck Oncology, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China
- College of Stomatology, Shanghai Jiao Tong University, National Center for Stomatology, National Clinical Research Center for Oral Diseases, Shanghai Key Laboratory of Stomatology, Shanghai 200011, China
- Shanghai Research Institute of Stomatology, Research Unit of Oral and Maxillofacial Regenerative Medicine, Chinese Academy of Medical Sciences, Shanghai 200011, China
| | - Chong Wang
- Department of Oral and Maxillofacial-Head Neck Oncology, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China
- College of Stomatology, Shanghai Jiao Tong University, National Center for Stomatology, National Clinical Research Center for Oral Diseases, Shanghai Key Laboratory of Stomatology, Shanghai 200011, China
- Shanghai Research Institute of Stomatology, Research Unit of Oral and Maxillofacial Regenerative Medicine, Chinese Academy of Medical Sciences, Shanghai 200011, China
| | - Guizhu Yang
- Department of Oral and Maxillofacial-Head Neck Oncology, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China
- College of Stomatology, Shanghai Jiao Tong University, National Center for Stomatology, National Clinical Research Center for Oral Diseases, Shanghai Key Laboratory of Stomatology, Shanghai 200011, China
- Shanghai Research Institute of Stomatology, Research Unit of Oral and Maxillofacial Regenerative Medicine, Chinese Academy of Medical Sciences, Shanghai 200011, China
| | - Rui Wang
- Department of Oral and Maxillofacial-Head Neck Oncology, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China
- College of Stomatology, Shanghai Jiao Tong University, National Center for Stomatology, National Clinical Research Center for Oral Diseases, Shanghai Key Laboratory of Stomatology, Shanghai 200011, China
- Shanghai Research Institute of Stomatology, Research Unit of Oral and Maxillofacial Regenerative Medicine, Chinese Academy of Medical Sciences, Shanghai 200011, China
| | - Shuyang Sun
- Department of Oral and Maxillofacial-Head Neck Oncology, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China
- College of Stomatology, Shanghai Jiao Tong University, National Center for Stomatology, National Clinical Research Center for Oral Diseases, Shanghai Key Laboratory of Stomatology, Shanghai 200011, China
- Shanghai Research Institute of Stomatology, Research Unit of Oral and Maxillofacial Regenerative Medicine, Chinese Academy of Medical Sciences, Shanghai 200011, China
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15
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Redondo-Muñoz M, Rodriguez-Baena FJ, Aldaz P, Caballé-Mestres A, Moncho-Amor V, Otaegi-Ugartemendia M, Carrasco-Garcia E, Olias-Arjona A, Lasheras-Otero I, Santamaria E, Bocanegra A, Chocarro L, Grier A, Dzieciatkowska M M, Bigas C, Martin J, Urdiroz-Urricelqui U, Marzo F, Santamaria E, Kochan G, Escors D, Larrayoz IM, Heyn H, D'Alessandro A, Attolini CSO, Matheu A, Wellbrock C, Benitah SA, Sanchez-Laorden B, Arozarena I. Metabolic rewiring induced by ranolazine improves melanoma responses to targeted therapy and immunotherapy. Nat Metab 2023; 5:1544-1562. [PMID: 37563469 PMCID: PMC10513932 DOI: 10.1038/s42255-023-00861-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Accepted: 07/07/2023] [Indexed: 08/12/2023]
Abstract
Resistance of melanoma to targeted therapy and immunotherapy is linked to metabolic rewiring. Here, we show that increased fatty acid oxidation (FAO) during prolonged BRAF inhibitor (BRAFi) treatment contributes to acquired therapy resistance in mice. Targeting FAO using the US Food and Drug Administration-approved and European Medicines Agency-approved anti-anginal drug ranolazine (RANO) delays tumour recurrence with acquired BRAFi resistance. Single-cell RNA-sequencing analysis reveals that RANO diminishes the abundance of the therapy-resistant NGFRhi neural crest stem cell subpopulation. Moreover, by rewiring the methionine salvage pathway, RANO enhances melanoma immunogenicity through increased antigen presentation and interferon signalling. Combination of RANO with anti-PD-L1 antibodies strongly improves survival by increasing antitumour immune responses. Altogether, we show that RANO increases the efficacy of targeted melanoma therapy through its effects on FAO and the methionine salvage pathway. Importantly, our study suggests that RANO could sensitize BRAFi-resistant tumours to immunotherapy. Since RANO has very mild side-effects, it might constitute a therapeutic option to improve the two main strategies currently used to treat metastatic melanoma.
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Grants
- P30 CA046934 NCI NIH HHS
- Ministry of Economy and Competitiveness | Instituto de Salud Carlos III (Institute of Health Carlos III)
- Departamento de Salud del Gobierno de Navarra, Spain (Grant Ref. No: GºNa 71/17)
- Marta Redondo-Muñoz is funded by a PhD studentship from the Department of Industry of the Government of Navarra, Spain. MRM acknowledges funding from the Grupo Español Multidisciplinar de Melanoma
- The University of Colorado School of Medicine Metabolomics Core is supported in part by the University of Colorado Cancer Center award from the National Cancer Institute P30CA046934
- David Escors Acknowledges funding from The Spanish Association against Cancer (AECC), PROYE16001ESCO), Biomedicine Project Grant from the Department of Health of the Government of Navarre-FEDER funds (BMED 050-2019, 51-2021) ; Strategic projects from the Department of Industry, Government of Navarre (AGATA, Ref. 0011-1411-2020-000013; LINTERNA, Ref. 0011-1411-2020-000033; DESCARTHES, 0011-1411-2019-000058).
- Research in the S.A.B. laboratory is supported partially by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (Grant agreement No. 787041), the Government of Cataluña (SGR grant), the Government of Spain (MINECO), the La Marató/TV3 Foundation, the Foundation Lilliane Bettencourt, the Spanish Association for Cancer Research (AECC) and The Worldwide Cancer Research Foundation (WCRF)
- Work in B.S-L´s lab is funded by:PID2019-106852-RBI00 funded by MCIN/AEI/ 10.13039/501100011033, the Melanoma Research Alliance (https://doi.org/10.48050/pc.gr.91574 to B.S-L) and the FERO Foundation.
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Affiliation(s)
- Marta Redondo-Muñoz
- Cancer Signaling Unit, Navarrabiomed, Hospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), Pamplona, Spain
- Health Research Institute of Navarre (IdiSNA), Pamplona, Spain
| | | | - Paula Aldaz
- Cancer Signaling Unit, Navarrabiomed, Hospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), Pamplona, Spain
- Health Research Institute of Navarre (IdiSNA), Pamplona, Spain
| | - Adriá Caballé-Mestres
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
| | - Verónica Moncho-Amor
- Cellular Oncology Group, Biodonostia Health Research Institute, San Sebastian, Spain
- CIBER de Fragilidad y Envejecimiento Saludable (CIBERfes), Madrid, Spain
| | | | - Estefania Carrasco-Garcia
- Cellular Oncology Group, Biodonostia Health Research Institute, San Sebastian, Spain
- CIBER de Fragilidad y Envejecimiento Saludable (CIBERfes), Madrid, Spain
| | - Ana Olias-Arjona
- Cancer Signaling Unit, Navarrabiomed, Hospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), Pamplona, Spain
- Health Research Institute of Navarre (IdiSNA), Pamplona, Spain
| | - Irene Lasheras-Otero
- Cancer Signaling Unit, Navarrabiomed, Hospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), Pamplona, Spain
- Health Research Institute of Navarre (IdiSNA), Pamplona, Spain
| | - Eva Santamaria
- Hepatology Program, CIMA, CCUN, University of Navarra, Pamplona, Spain
- CIBERehd, Instituto de Salud Carlos III, Madrid, Spain
| | - Ana Bocanegra
- Health Research Institute of Navarre (IdiSNA), Pamplona, Spain
- Oncoimmunology Group, Navarrabiomed, Hospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), Pamplona, Spain
| | - Luisa Chocarro
- Health Research Institute of Navarre (IdiSNA), Pamplona, Spain
- Oncoimmunology Group, Navarrabiomed, Hospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), Pamplona, Spain
| | - Abby Grier
- Department of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Monika Dzieciatkowska M
- Department of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Claudia Bigas
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
| | - Josefina Martin
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
| | - Uxue Urdiroz-Urricelqui
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
| | - Florencio Marzo
- Health Research Institute of Navarre (IdiSNA), Pamplona, Spain
| | - Enrique Santamaria
- Health Research Institute of Navarre (IdiSNA), Pamplona, Spain
- Clinical Neuroproteomics Unit, Navarrabiomed, Hospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), Pamplona, Spain
| | - Grazyna Kochan
- Health Research Institute of Navarre (IdiSNA), Pamplona, Spain
- Oncoimmunology Group, Navarrabiomed, Hospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), Pamplona, Spain
| | - David Escors
- Health Research Institute of Navarre (IdiSNA), Pamplona, Spain
- Oncoimmunology Group, Navarrabiomed, Hospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), Pamplona, Spain
| | - Ignacio Marcos Larrayoz
- Biomarkers and Molecular Signaling Group, Center for Biomedical Research of La Rioja (CIBIR), Foundation Rioja Salud, Logroño, Spain
- Unidad Predepartamental de Enfermería, Universidad de La Rioja (UR), Logroño, Spain
| | - Holger Heyn
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
| | - Angelo D'Alessandro
- Oncoimmunology Group, Navarrabiomed, Hospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), Pamplona, Spain
| | - Camille Stephan-Otto Attolini
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
| | - Ander Matheu
- Cellular Oncology Group, Biodonostia Health Research Institute, San Sebastian, Spain
- IKERBASQUE, Basque Foundation for Science, Bilbao, Spain
| | - Claudia Wellbrock
- Cancer Signaling Unit, Navarrabiomed, Hospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), Pamplona, Spain
- Department of Health Sciences, Universidad Pública de Navarra (UPNA), Pamplona, Spain
| | - Salvador Aznar Benitah
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology (BIST), Barcelona, Spain.
- Catalan Institution for Research and Advanced Studies (ICREA), Barcelona, Spain.
| | | | - Imanol Arozarena
- Cancer Signaling Unit, Navarrabiomed, Hospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), Pamplona, Spain.
- Health Research Institute of Navarre (IdiSNA), Pamplona, Spain.
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16
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Zhai J, Chen H, Wong CC, Peng Y, Gou H, Zhang J, Pan Y, Chen D, Lin Y, Wang S, Kang W, To KF, Chen Z, Nie Y, He HH, Sung JJY, Yu J. ALKBH5 Drives Immune Suppression Via Targeting AXIN2 to Promote Colorectal Cancer and Is a Target for Boosting Immunotherapy. Gastroenterology 2023; 165:445-462. [DOI: https:/doi.org/10.1053/j.gastro.2023.04.032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2023]
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17
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Zhai J, Chen H, Wong CC, Peng Y, Gou H, Zhang J, Pan Y, Chen D, Lin Y, Wang S, Kang W, To KF, Chen Z, Nie Y, He HH, Sung JJY, Yu J. ALKBH5 Drives Immune Suppression Via Targeting AXIN2 to Promote Colorectal Cancer and Is a Target for Boosting Immunotherapy. Gastroenterology 2023; 165:445-462. [PMID: 37169182 DOI: 10.1053/j.gastro.2023.04.032] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Revised: 04/18/2023] [Accepted: 04/23/2023] [Indexed: 05/13/2023]
Abstract
BACKGROUND & AIMS Immune checkpoint blockade therapy benefits only a small subset of patients with colorectal cancer (CRC), and identification of CRC-intrinsic events modulating immune checkpoint blockade efficacy is an unmet need. We found that AlkB homolog 5 (ALKBH5), an RNA N6-methyladenosine eraser, drives immunosuppression and is a molecular target to boost immune checkpoint blockade therapy in CRC. METHODS Clinical significance of ALKBH5 was evaluated in human samples (n = 205). Function of ALKBH5 was investigated in allografts, CD34+ humanized mice, and Alkbh5 knockin mice. Immunity change was determined by means of flow cytometry, immunofluorescence, and functional investigation. Methylated RNA immunoprecipitation sequencing and RNA sequencing were used to identify ALKBH5 targets. Vesicle-like nanoparticle-encapsulated ALKBH5-small interfering RNA was constructed for targeting ALKBH5 in vivo. RESULTS High ALKBH5 expression predicts poor prognosis in CRC. ALKBH5 induced myeloid-derived suppressor cell accumulation but reduced natural killer cells and cytotoxic CD8+ T cells to induce colorectal tumorigenesis in allografts, CD34+ humanized mice, and intestine-specific Alkbh5 knockin mice. Mechanistically, AXIN2, a Wnt suppressor, was identified as a target of ALKBH5. ALKBH5 binds and demethylates AXIN2 messenger RNA, which caused its dissociation from N6-methyladenosine reader IGF2BP1 and degradation, resulting in hyperactivated Wnt/β-catenin. Subsequently, Wnt/β-catenin targets, including Dickkopf-related protein 1 (DKK1) were induced by ALKBH5. ALKBH5-induced DKK1 recruited myeloid-derived suppressor cells to drive immunosuppression in CRC, and this effect was abolished by anti-DKK1 in vitro and in vivo. Finally, vesicle-like nanoparticle-encapsulated ALKBH5-small interfering RNA, or anti-DKK1 potentiated anti-PD1 treatment in suppressing CRC growth by enhancing antitumor immunity. CONCLUSIONS This study identified an ALKBH5-N6-methyladenosine-AXIN2-Wnt-DKK1 axis in CRC, which drives immune suppression to facilitate tumorigenesis. Targeting of ALKBH5 is a promising strategy for sensitizing CRC to immunotherapy.
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Affiliation(s)
- Jianning Zhai
- Institute of Digestive Disease and Department of Medicine and Therapeutics, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, Chinese University of Hong Kong-Shenzhen Research Institute, The Chinese University of Hong Kong, Hong Kong
| | - Huarong Chen
- Institute of Digestive Disease and Department of Medicine and Therapeutics, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, Chinese University of Hong Kong-Shenzhen Research Institute, The Chinese University of Hong Kong, Hong Kong; Department of Anesthesia and Intensive Care and Peter Hung Pain Research Institute, The Chinese University of Hong Kong, Hong Kong
| | - Chi Chun Wong
- Institute of Digestive Disease and Department of Medicine and Therapeutics, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, Chinese University of Hong Kong-Shenzhen Research Institute, The Chinese University of Hong Kong, Hong Kong
| | - Yao Peng
- Institute of Digestive Disease and Department of Medicine and Therapeutics, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, Chinese University of Hong Kong-Shenzhen Research Institute, The Chinese University of Hong Kong, Hong Kong; Department of Gastroenterology, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China
| | - Hongyan Gou
- Institute of Digestive Disease and Department of Medicine and Therapeutics, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, Chinese University of Hong Kong-Shenzhen Research Institute, The Chinese University of Hong Kong, Hong Kong
| | - Jingwan Zhang
- Institute of Digestive Disease and Department of Medicine and Therapeutics, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, Chinese University of Hong Kong-Shenzhen Research Institute, The Chinese University of Hong Kong, Hong Kong
| | - Yasi Pan
- Institute of Digestive Disease and Department of Medicine and Therapeutics, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, Chinese University of Hong Kong-Shenzhen Research Institute, The Chinese University of Hong Kong, Hong Kong
| | - Danyu Chen
- Institute of Digestive Disease and Department of Medicine and Therapeutics, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, Chinese University of Hong Kong-Shenzhen Research Institute, The Chinese University of Hong Kong, Hong Kong
| | - Yufeng Lin
- Institute of Digestive Disease and Department of Medicine and Therapeutics, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, Chinese University of Hong Kong-Shenzhen Research Institute, The Chinese University of Hong Kong, Hong Kong
| | - Shiyan Wang
- Princess Margaret Cancer Centre, University Health Network, Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Wei Kang
- Department of Anatomical and Cellular Pathology, State Key Laboratory of Oncology in South China, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong
| | - Ka Fai To
- Department of Anatomical and Cellular Pathology, State Key Laboratory of Oncology in South China, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong
| | - Zhiwei Chen
- AIDS Institute and Department of Microbiology, State Key Laboratory of Emerging Infectious Disease, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong
| | - Yuqiang Nie
- Department of Gastroenterology, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China
| | - Housheng Hansen He
- Princess Margaret Cancer Centre, University Health Network, Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Joseph Jao-Yiu Sung
- Institute of Digestive Disease and Department of Medicine and Therapeutics, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, Chinese University of Hong Kong-Shenzhen Research Institute, The Chinese University of Hong Kong, Hong Kong; Lee Kong Chian School of Medicine, Nanyang Technology University, Singapore
| | - Jun Yu
- Institute of Digestive Disease and Department of Medicine and Therapeutics, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, Chinese University of Hong Kong-Shenzhen Research Institute, The Chinese University of Hong Kong, Hong Kong.
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18
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Vredevoogd DW, Peeper DS. Heterogeneity in functional genetic screens: friend or foe? Front Immunol 2023; 14:1162706. [PMID: 37398651 PMCID: PMC10312307 DOI: 10.3389/fimmu.2023.1162706] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Accepted: 05/30/2023] [Indexed: 07/04/2023] Open
Abstract
Functional genetic screens to uncover tumor-intrinsic nodes of immune resistance have uncovered numerous mechanisms by which tumors evade our immune system. However, due to technical limitations, tumor heterogeneity is imperfectly captured with many of these analyses. Here, we provide an overview of the nature and sources of heterogeneity that are relevant for tumor-immune interactions. We argue that this heterogeneity may actually contribute to the discovery of novel mechanisms of immune evasion, given a sufficiently large and heterogeneous set of input data. Taking advantage of tumor cell heterogeneity, we provide proof-of-concept analyses of mechanisms of TNF resistance. Thus, consideration of tumor heterogeneity is imperative to increase our understanding of immune resistance mechanisms.
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19
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Koziej P, Kluszczynska K, Hartman ML, Czyz M. Trametinib-Resistant Melanoma Cells Displaying MITF high/NGFR low/IL-8 low Phenotype Are Highly Responsive to Alternating Periods of Drug Withdrawal and Drug Rechallenge. Int J Mol Sci 2023; 24:ijms24097891. [PMID: 37175614 PMCID: PMC10178474 DOI: 10.3390/ijms24097891] [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: 03/19/2023] [Revised: 04/19/2023] [Accepted: 04/25/2023] [Indexed: 05/15/2023] Open
Abstract
Despite significant advances in targeted therapies against the hyperactivated BRAFV600/MEK pathway for patients with unresectable metastatic melanoma, acquired resistance remains an unsolved clinical problem. In this study, we focused on melanoma cells resistant to trametinib, an agent broadly used in combination therapies. Molecular and cellular changes were assessed during alternating periods of trametinib withdrawal and rechallenge in trametinib-resistant cell lines displaying either a differentiation phenotype (MITFhigh/NGFRlow) or neural crest stem-like dedifferentiation phenotype (NGFRhigh/MITFlow). Neither drug withdrawal nor drug rechallenge induced cell death, and instead of loss of fitness, trametinib-resistant melanoma cells adapted to altered conditions by phenotype switching. In resistant cells displaying a differentiation phenotype, trametinib withdrawal markedly decreased MITF level and activity, which was associated with reduced cell proliferation capacity, and induced stemness assessed as NGFR-positive cells and senescence features, including IL-8 expression and secretion. All these changes could be reversed by trametinib re-exposure, which emphasizes melanoma cell plasticity. Trametinib-resistant cells displaying a dedifferentiation phenotype were less responsive presumably due to the already low level of MITF, a master regulator of the melanoma phenotype. Considering new directions of the development of anti-melanoma treatment, our study suggests that the phenotype of melanomas resistant to targeted therapy might be a crucial determinant of the selection of second-line therapy for melanoma patients.
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Affiliation(s)
- Paulina Koziej
- Department of Molecular Biology of Cancer, Medical University of Lodz, 6/8 Mazowiecka Street, 92-215 Lodz, Poland
| | - Katarzyna Kluszczynska
- Department of Molecular Biology of Cancer, Medical University of Lodz, 6/8 Mazowiecka Street, 92-215 Lodz, Poland
| | - Mariusz L Hartman
- Department of Molecular Biology of Cancer, Medical University of Lodz, 6/8 Mazowiecka Street, 92-215 Lodz, Poland
| | - Malgorzata Czyz
- Department of Molecular Biology of Cancer, Medical University of Lodz, 6/8 Mazowiecka Street, 92-215 Lodz, Poland
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20
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Lim SY, Shklovskaya E, Lee JH, Pedersen B, Stewart A, Ming Z, Irvine M, Shivalingam B, Saw RPM, Menzies AM, Carlino MS, Scolyer RA, Long GV, Rizos H. The molecular and functional landscape of resistance to immune checkpoint blockade in melanoma. Nat Commun 2023; 14:1516. [PMID: 36934113 PMCID: PMC10024679 DOI: 10.1038/s41467-023-36979-y] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2022] [Accepted: 02/23/2023] [Indexed: 03/20/2023] Open
Abstract
Resistance to immune checkpoint inhibitor therapies in melanoma is common and remains an intractable clinical challenge. In this study, we comprehensively profile immune checkpoint inhibitor resistance mechanisms in short-term tumor cell lines and matched tumor samples from melanoma patients progressing on immune checkpoint inhibitors. Combining genome, transcriptome, and high dimensional flow cytometric profiling with functional analysis, we identify three distinct programs of immunotherapy resistance. Here we show that resistance programs include (1) the loss of wild-type antigen expression, resulting from tumor-intrinsic IFNγ signaling and melanoma de-differentiation, (2) the disruption of antigen presentation via multiple independent mechanisms affecting MHC expression, and (3) immune cell exclusion associated with PTEN loss. The dominant role of compromised antigen production and presentation in melanoma resistance to immune checkpoint inhibition highlights the importance of treatment salvage strategies aimed at the restoration of MHC expression, stimulation of innate immunity, and re-expression of wild-type differentiation antigens.
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Affiliation(s)
- Su Yin Lim
- Macquarie Medical School, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia
| | - Elena Shklovskaya
- Macquarie Medical School, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia
| | - Jenny H Lee
- Macquarie Medical School, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia
- Department of Medical Oncology, Chris O'Brien Lifehouse, Sydney, NSW, Australia
| | - Bernadette Pedersen
- Macquarie Medical School, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia
| | - Ashleigh Stewart
- Macquarie Medical School, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia
| | - Zizhen Ming
- Macquarie Medical School, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia
| | - Mal Irvine
- Macquarie Medical School, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia
| | - Brindha Shivalingam
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia
- Department of Neurosurgery, Chris O'Brien Lifehouse, Sydney, NSW, Australia
- Department of Neurosurgery, Royal Prince Alfred Hospital, Sydney, NSW, Australia
| | - Robyn P M Saw
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia
- Department of Melanoma and Surgical Oncology, Royal Prince Alfred Hospital, Sydney, NSW, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
| | - Alexander M Menzies
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- Department of Medical Oncology, Northern Sydney Cancer Centre, Royal North Shore Hospital, Sydney, NSW, Australia
- Department of Medical Oncology, Mater Hospital, Sydney, NSW, Australia
| | - Matteo S Carlino
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- Department of Medical Oncology, Blacktown Cancer and Haematology Centre, Blacktown Hospital, Sydney, NSW, Australia
- Department of Medical Oncology, Crown Princess Mary Cancer Centre, Westmead Hospital, Sydney, NSW, Australia
| | - Richard A Scolyer
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- Tissue Pathology and Diagnostic Oncology, Royal Prince Alfred Hospital and NSW Health Pathology, Sydney, NSW, Australia
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
| | - Georgina V Long
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- Department of Medical Oncology, Northern Sydney Cancer Centre, Royal North Shore Hospital, Sydney, NSW, Australia
- Department of Medical Oncology, Mater Hospital, Sydney, NSW, Australia
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
| | - Helen Rizos
- Macquarie Medical School, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia.
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia.
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21
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Kato S, Maeda Y, Sugiyama D, Watanabe K, Nishikawa H, Hinohara K. The cancer epigenome: Non-cell autonomous player in tumor immunity. Cancer Sci 2023; 114:730-740. [PMID: 36468774 PMCID: PMC9986067 DOI: 10.1111/cas.15681] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 11/28/2022] [Accepted: 12/02/2022] [Indexed: 12/12/2022] Open
Abstract
Dysregulation of the tumor-intrinsic epigenetic circuit is a key driver event for the development of cancer. Accumulating evidence suggests that epigenetic and/or genetic drivers stimulate intrinsic oncogenic pathways as well as extrinsic factors that modulate the immune system. These modulations indeed shape the tumor microenvironment (TME), allowing pro-oncogenic factors to become oncogenic, thereby contributing to cancer development and progression. Here we review the epigenetic dysregulation arising in cancer cells that disseminates throughout the TME and beyond. Recent CRISPR screening has elucidated key epigenetic drivers that play important roles in the proliferation of cancer cells (intrinsic) and inhibition of antitumor immunity (extrinsic), which lead to the development and progression of cancer. These epigenetic players can serve as promising targets for cancer therapy as a dual (two-in-one)-targeted approach. Considering the interplay between cancer and the immune system as a key determinant of immunotherapy, we discuss a novel lineage-tracing technology that enables longitudinal monitoring of cancer and immune phenotypic heterogeneity and fate paths during cancer development, progression, and therapeutic interventions.
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Affiliation(s)
- Shinichiro Kato
- Department of Immunology, Nagoya University Graduate School of Medicine, Nagoya, Japan.,Center for 5D Cell Dynamics, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yuka Maeda
- Division of Cancer Immunology, Exploratory Oncology Research & Clinical Trial Center, National Cancer Center, Research Institute, Tokyo, Japan
| | - Daisuke Sugiyama
- Department of Immunology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Keisuke Watanabe
- Division of Cancer Immunology, Exploratory Oncology Research & Clinical Trial Center, National Cancer Center, Research Institute, Tokyo, Japan
| | - Hiroyoshi Nishikawa
- Department of Immunology, Nagoya University Graduate School of Medicine, Nagoya, Japan.,Center for 5D Cell Dynamics, Nagoya University Graduate School of Medicine, Nagoya, Japan.,Division of Cancer Immunology, Exploratory Oncology Research & Clinical Trial Center, National Cancer Center, Research Institute, Tokyo, Japan.,Institute for Advanced Study, Nagoya University, Nagoya, Japan
| | - Kunihiko Hinohara
- Department of Immunology, Nagoya University Graduate School of Medicine, Nagoya, Japan.,Center for 5D Cell Dynamics, Nagoya University Graduate School of Medicine, Nagoya, Japan.,Institute for Advanced Study, Nagoya University, Nagoya, Japan
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22
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Kenski JCN, Huang X, Vredevoogd DW, de Bruijn B, Traets JJH, Ibáñez-Molero S, Schieven SM, van Vliet A, Krijgsman O, Kuilman T, Pozniak J, Loayza-Puch F, Terry AM, Müller J, Logtenberg MEW, de Bruijn M, Levy P, Körner PR, Goding CR, Schumacher TN, Marine JC, Agami R, Peeper DS. An adverse tumor-protective effect of IDO1 inhibition. Cell Rep Med 2023; 4:100941. [PMID: 36812891 PMCID: PMC9975322 DOI: 10.1016/j.xcrm.2023.100941] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Revised: 11/19/2022] [Accepted: 01/20/2023] [Indexed: 02/23/2023]
Abstract
By restoring tryptophan, indoleamine 2,3-dioxygenase 1 (IDO1) inhibitors aim to reactivate anti-tumor T cells. However, a phase III trial assessing their clinical benefit failed, prompting us to revisit the role of IDO1 in tumor cells under T cell attack. We show here that IDO1 inhibition leads to an adverse protection of melanoma cells to T cell-derived interferon-gamma (IFNγ). RNA sequencing and ribosome profiling shows that IFNγ shuts down general protein translation, which is reversed by IDO1 inhibition. Impaired translation is accompanied by an amino acid deprivation-dependent stress response driving activating transcription factor-4 (ATF4)high/microphtalmia-associated transcription factor (MITF)low transcriptomic signatures, also in patient melanomas. Single-cell sequencing analysis reveals that MITF downregulation upon immune checkpoint blockade treatment predicts improved patient outcome. Conversely, MITF restoration in cultured melanoma cells causes T cell resistance. These results highlight the critical role of tryptophan and MITF in the melanoma response to T cell-derived IFNγ and uncover an unexpected negative consequence of IDO1 inhibition.
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Affiliation(s)
- Juliana C N Kenski
- Division of Molecular Oncology and Immunology, Oncode Institute, the Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands
| | - Xinyao Huang
- Division of Molecular Oncology and Immunology, Oncode Institute, the Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands
| | - David W Vredevoogd
- Division of Molecular Oncology and Immunology, Oncode Institute, the Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands
| | - Beaunelle de Bruijn
- Division of Molecular Oncology and Immunology, Oncode Institute, the Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands
| | - Joleen J H Traets
- Division of Molecular Oncology and Immunology, Oncode Institute, the Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands
| | - Sofía Ibáñez-Molero
- Division of Molecular Oncology and Immunology, Oncode Institute, the Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands
| | - Sebastiaan M Schieven
- Division of Molecular Oncology and Immunology, Oncode Institute, the Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands
| | - Alex van Vliet
- Division of Molecular Oncology and Immunology, Oncode Institute, the Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands
| | - Oscar Krijgsman
- Division of Molecular Oncology and Immunology, Oncode Institute, the Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands
| | - Thomas Kuilman
- Division of Molecular Oncology and Immunology, Oncode Institute, the Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands
| | - Joanna Pozniak
- Laboratory for Molecular Cancer Biology, Center for Cancer Biology, VIB, Leuven, Belgium; Laboratory for Molecular Cancer Biology, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Fabricio Loayza-Puch
- Division of Oncogenomics, Oncode Institute, the Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands
| | - Alexandra M Terry
- Division of Molecular Oncology and Immunology, Oncode Institute, the Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands
| | - Judith Müller
- Division of Molecular Oncology and Immunology, Oncode Institute, the Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands
| | - Meike E W Logtenberg
- Division of Molecular Oncology and Immunology, Oncode Institute, the Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands
| | - Marjolein de Bruijn
- Division of Molecular Oncology and Immunology, Oncode Institute, the Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands
| | - Pierre Levy
- Division of Molecular Oncology and Immunology, Oncode Institute, the Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands
| | - Pierre-René Körner
- Division of Oncogenomics, Oncode Institute, the Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands
| | - Colin R Goding
- Ludwig Institute for Cancer Research, Nuffield Department of Medicine, University of Oxford, Old Road Campus, Headington, OX OX3 7DQ, UK
| | - Ton N Schumacher
- Division of Molecular Oncology and Immunology, Oncode Institute, the Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands
| | - Jean-Christophe Marine
- Laboratory for Molecular Cancer Biology, Center for Cancer Biology, VIB, Leuven, Belgium; Laboratory for Molecular Cancer Biology, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Reuven Agami
- Division of Oncogenomics, Oncode Institute, the Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands
| | - Daniel S Peeper
- Division of Molecular Oncology and Immunology, Oncode Institute, the Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands.
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The mechanical phenotypic plasticity of melanoma cell: an emerging driver of therapy cross-resistance. Oncogenesis 2023; 12:7. [PMID: 36774337 PMCID: PMC9922263 DOI: 10.1038/s41389-023-00452-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Revised: 01/31/2023] [Accepted: 02/02/2023] [Indexed: 02/13/2023] Open
Abstract
Advanced cutaneous melanoma is the deadliest form of skin cancer and one of the most aggressive human cancers. Targeted therapies (TT) against BRAF mutated melanoma and immune checkpoints blockade therapies (ICB) have been a breakthrough in the treatment of metastatic melanoma. However, therapy-driven resistance remains a major hurdle in the clinical management of the metastatic disease. Besides shaping the tumor microenvironment, current treatments impact transition states to promote melanoma cell phenotypic plasticity and intratumor heterogeneity, which compromise treatment efficacy and clinical outcomes. In this context, mesenchymal-like dedifferentiated melanoma cells exhibit a remarkable ability to autonomously assemble their own extracellular matrix (ECM) and to biomechanically adapt in response to therapeutic insults, thereby fueling tumor relapse. Here, we review recent studies that highlight mechanical phenotypic plasticity of melanoma cells as a hallmark of adaptive and non-genetic resistance to treatment and emerging driver in cross-resistance to TT and ICB. We also discuss how targeting BRAF-mutant dedifferentiated cells and ECM-based mechanotransduction pathways may overcome melanoma cross-resistance.
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24
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Yu Q, Wang Y, Yi G, Yang W, Chen K, Tan X, Zhang X, Xu Z, Yang Z, Peng Y. BDNF is a prognostic biomarker involved in immune infiltration of lung adenocarcinoma and is associated with brain metastasis. Immunology 2023; 168:320-330. [PMID: 36151890 DOI: 10.1111/imm.13581] [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: 04/03/2022] [Accepted: 09/20/2022] [Indexed: 01/17/2023] Open
Abstract
Non-small cell lung cancer (NSCLC) is one of the leading causes of death worldwide. Brain metastases are a common complication of a wide range of human malignancies, particularly lung adenocarcinoma (LUAD). Brain-derived neurotrophic factor (BDNF), a member of the neurotrophin family, has been linked to several human malignancies and has been shown to promote LUAD tumorigenesis. However, its function in the tumour immune microenvironment (TIME) remains largely unexplored, especially in complex brain tissue environments. In this study, BDNF was found to be particularly increased in patients with advanced tumour stage, lymphatic metastasis, and distant metastasis, indicating a correlation with LUAD progression. We characterized the prognostic value of BDNF and defined BDNF as an unfavourable prognostic indicator through a common driver gene-independent mechanism in LUAD. Furthermore, patients with increased BDNF levels in primary LUAD might have a higher risk of developing brain metastasis (BM), and central nervous system (CNS) metastasis showed an elevated expression of BDNF compared to their matched primary lesions. Additionally, we investigated the interaction between BDNF and infiltrating immune cells in both primary lesions and paired BM using multiplex immunostaining. The results showed that BDNF might drive an immunosuppressive tumour microenvironment (TME) by re-education of tumour-associated macrophages (TAMs) toward a pro-tumorigenic M2 phenotype, particularly in BM. Our findings demonstrate that BDNF serves as an independent potential prognostic marker and correlates with BM in LUAD. As it is closely related to TAM polarization, BDNF may be a promising immune-related biomarker and molecular target in patients with LUAD.
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Affiliation(s)
- Qian Yu
- Department of Cancer Center, Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Yitian Wang
- Department of Cancer Center, Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Guangming Yi
- Department of Cancer Center, Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Wendi Yang
- Department of Cancer Center, Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Kehong Chen
- Department of Cancer Center, Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Xiangwu Tan
- Department of Cancer Center, Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Xiaoyue Zhang
- Department of Cancer Center, Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Zaicheng Xu
- Department of Cancer Center, Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Zhenzhou Yang
- Department of Cancer Center, Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Yuan Peng
- Department of Cancer Center, Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
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25
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Lehmann J, Caduff N, Krzywińska E, Stierli S, Salas-Bastos A, Loos B, Levesque MP, Dummer R, Stockmann C, Münz C, Diener J, Sommer L. Escape from NK cell tumor surveillance by NGFR-induced lipid remodeling in melanoma. SCIENCE ADVANCES 2023; 9:eadc8825. [PMID: 36638181 PMCID: PMC9839334 DOI: 10.1126/sciadv.adc8825] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 12/09/2022] [Indexed: 05/27/2023]
Abstract
Metastatic disease is a major cause of death for patients with melanoma. Melanoma cells can become metastatic not only due to cell-intrinsic plasticity but also due to cancer-induced protumorigenic remodeling of the immune microenvironment. Here, we report that innate immune surveillance by natural killer (NK) cells is bypassed by human melanoma cells expressing the stem cell marker NGFR. Using in vitro and in vivo cytotoxic assays, we show that NGFR protects melanoma cells from NK cell-mediated killing and, furthermore, boosts metastasis formation in a mouse model with adoptively transferred human NK cells. Mechanistically, NGFR leads to down-regulation of NK cell activating ligands and simultaneous up-regulation of the fatty acid stearoyl-coenzyme A desaturase (SCD) in melanoma cells. Notably, pharmacological and small interfering RNA-mediated inhibition of SCD reverted NGFR-induced NK cell evasion in vitro and in vivo. Hence, NGFR orchestrates immune control antagonizing pathways to protect melanoma cells from NK cell clearance, which ultimately favors metastatic disease.
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Affiliation(s)
- Julia Lehmann
- University of Zurich, Institute of Anatomy, Winterthurerstrasse 190, 8057 Zürich, Switzerland
| | - Nicole Caduff
- University of Zurich, Institute of Experimental Immunology, Winterthurerstrasse 190, 8057 Zürich, Switzerland
| | - Ewelina Krzywińska
- University of Zurich, Institute of Anatomy, Winterthurerstrasse 190, 8057 Zürich, Switzerland
| | - Salome Stierli
- University of Zurich, Institute of Anatomy, Winterthurerstrasse 190, 8057 Zürich, Switzerland
| | - Adrian Salas-Bastos
- University of Zurich, Institute of Anatomy, Winterthurerstrasse 190, 8057 Zürich, Switzerland
| | - Benjamin Loos
- University of Zurich, Institute of Anatomy, Winterthurerstrasse 190, 8057 Zürich, Switzerland
| | - Mitchell P. Levesque
- University of Zurich Hospital, Department of Dermatology, Gloriastrasse 31, 8091 Zürich, Switzerland
| | - Reinhard Dummer
- University of Zurich Hospital, Department of Dermatology, Gloriastrasse 31, 8091 Zürich, Switzerland
| | - Christian Stockmann
- University of Zurich, Institute of Anatomy, Winterthurerstrasse 190, 8057 Zürich, Switzerland
| | - Christian Münz
- University of Zurich, Institute of Experimental Immunology, Winterthurerstrasse 190, 8057 Zürich, Switzerland
| | - Johanna Diener
- University of Zurich, Institute of Anatomy, Winterthurerstrasse 190, 8057 Zürich, Switzerland
| | - Lukas Sommer
- University of Zurich, Institute of Anatomy, Winterthurerstrasse 190, 8057 Zürich, Switzerland
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26
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Shen M, Kang Y. Cancer fitness genes: emerging therapeutic targets for metastasis. Trends Cancer 2023; 9:69-82. [PMID: 36184492 DOI: 10.1016/j.trecan.2022.08.007] [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: 07/07/2022] [Revised: 08/25/2022] [Accepted: 08/30/2022] [Indexed: 12/31/2022]
Abstract
Development of cancer therapeutics has traditionally focused on targeting driver oncogenes. Such an approach is limited by toxicity to normal tissues and treatment resistance. A class of 'cancer fitness genes' with crucial roles in metastasis have been identified. Elevated or altered activities of these genes do not directly cause cancer; instead, they relieve the stresses that tumor cells encounter and help them adapt to a changing microenvironment, thus facilitating tumor progression and metastasis. Importantly, as normal cells do not experience high levels of stress under physiological conditions, targeting cancer fitness genes is less likely to cause toxicity to noncancerous tissues. Here, we summarize the key features and function of cancer fitness genes and discuss their therapeutic potential.
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Affiliation(s)
- Minhong Shen
- Department of Pharmacology, Wayne State University School of Medicine, Michigan, MI, USA; Department of Oncology, Wayne State University School of Medicine and Tumor Biology and Microenvironment Research Program, Barbara Ann Karmanos Cancer Institute, Michigan, MI, USA.
| | - Yibin Kang
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA; Ludwig Institute for Cancer Research Princeton Branch, Princeton, NJ, USA.
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27
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He YB, Jin HZ, Zhao JL, Wang C, Ma WR, Xing J, Zhang XB, Zhang YY, Dai HD, Zhao NS, Zhang JF, Zhang GX, Zhang J. Single-cell transcriptomic analysis reveals differential cell subpopulations and distinct phenotype transition in normal and dissected ascending aorta. Mol Med 2022; 28:158. [PMID: 36536281 PMCID: PMC9764678 DOI: 10.1186/s10020-022-00584-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Accepted: 12/01/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Acute thoracic aortic dissection (ATAD) is a fatal condition characterized by tear of intima, formation of false lumen and rupture of aorta. However, the subpopulations of normal and dissected aorta remain less studied. METHODS Single-cell RNA sequencing was performed including 5 patients with ATAD and 4 healthy controls. Immunohistochemistry and immunofluorescence were used to verify the findings. RESULTS We got 8 cell types from human ascending aorta and identified 50 subpopulations including vascular smooth muscle cells (VSMCs), endothelial cells, fibroblasts, neutrophils, monocytes and macrophages. Six transmembrane epithelial antigen of prostate 4 metalloreductase (STEAP4) was identified as a new marker of synthetic VSMCs. CytoTRACE identified subpopulations with higher differentiation potential in specified cell types including synthetic VSMCs, enolase 1+ fibroblasts and myeloid-derived neutrophils. Synthetic VSMCs-derived C-X-C motif chemokine ligand 12 (CXCL12) might interact with neutrophils and fibroblasts via C-X-C motif chemokine receptor 4 (CXCR4) and atypical chemokine receptor 3 (ACKR3), respectively, which might recruit neutrophils and induce transdifferentitation of fibroblasts into synthetic VSMCs. CONCLUSION We characterized signatures of different cell types in normal and dissected human ascending aorta and identified a new marker for isolation of synthetic VSMCs. Moreover, we proposed a potential mechanism that synthetic VSMCs might interact with neutrophils and fibroblasts via CXCL12-CXCR4/ACKR3 axis whereby deteriorating the progression of ATAD, which might provide new insights to better understand the development and progression of ATAD.
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Affiliation(s)
- Yu-bin He
- grid.16821.3c0000 0004 0368 8293Department of Cardiovascular Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, No.241, West Huaihai Road, Shanghai, 200030 China
| | - Hai-zhen Jin
- grid.16821.3c0000 0004 0368 8293Department of Central Laboratory, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Jin-long Zhao
- grid.412528.80000 0004 1798 5117Department of Cardiovascular Surgery, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
| | - Chong Wang
- grid.16821.3c0000 0004 0368 8293Department of Cardiovascular Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, No.241, West Huaihai Road, Shanghai, 200030 China
| | - Wen-rui Ma
- grid.8547.e0000 0001 0125 2443Department of Cardiac Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jie Xing
- grid.16821.3c0000 0004 0368 8293Department of Biobank, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Xiao-bin Zhang
- grid.16821.3c0000 0004 0368 8293Department of Cardiovascular Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, No.241, West Huaihai Road, Shanghai, 200030 China
| | - Yang-yang Zhang
- grid.16821.3c0000 0004 0368 8293Department of Cardiovascular Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, No.241, West Huaihai Road, Shanghai, 200030 China
| | - Huang-dong Dai
- grid.16821.3c0000 0004 0368 8293Department of Cardiovascular Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, No.241, West Huaihai Road, Shanghai, 200030 China
| | - Nai-shi Zhao
- grid.16821.3c0000 0004 0368 8293Department of Cardiovascular Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, No.241, West Huaihai Road, Shanghai, 200030 China
| | - Jian-feng Zhang
- grid.16821.3c0000 0004 0368 8293Department of Cardiovascular Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, No.241, West Huaihai Road, Shanghai, 200030 China
| | - Guan-xin Zhang
- grid.73113.370000 0004 0369 1660Department of Cardiothoracic Surgery, Changhai Hospital, Second Military Medical University, No.168, Changhai Road, Shanghai, China
| | - Jing Zhang
- grid.16821.3c0000 0004 0368 8293Department of Cardiovascular Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, No.241, West Huaihai Road, Shanghai, 200030 China
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28
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Gambi G, Mengus G, Davidson G, Demesmaeker E, Cuomo A, Bonaldi T, Katopodi V, Malouf GG, Leucci E, Davidson I. The LncRNA LENOX Interacts with RAP2C to Regulate Metabolism and Promote Resistance to MAPK Inhibition in Melanoma. Cancer Res 2022; 82:4555-4570. [PMID: 36214632 PMCID: PMC9755964 DOI: 10.1158/0008-5472.can-22-0959] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 06/27/2022] [Accepted: 09/21/2022] [Indexed: 01/24/2023]
Abstract
Tumor heterogeneity is a key feature of melanomas that hinders development of effective treatments. Aiming to overcome this, we identified LINC00518 (LENOX; lincRNA-enhancer of oxidative phosphorylation) as a melanoma-specific lncRNA expressed in all known melanoma cell states and essential for melanoma survival in vitro and in vivo. Mechanistically, LENOX promoted association of the RAP2C GTPase with mitochondrial fission regulator DRP1, increasing DRP1 S637 phosphorylation, mitochondrial fusion, and oxidative phosphorylation. LENOX expression was upregulated following treatment with MAPK inhibitors, facilitating a metabolic switch from glycolysis to oxidative phosphorylation and conferring resistance to MAPK inhibition. Consequently, combined silencing of LENOX and RAP2C synergized with MAPK inhibitors to eradicate melanoma cells. Melanomas are thus addicted to the lncRNA LENOX, which acts to optimize mitochondrial function during melanoma development and progression. SIGNIFICANCE The lncRNA LENOX is a novel regulator of melanoma metabolism, which can be targeted in conjunction with MAPK inhibitors to eradicate melanoma cells.
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Affiliation(s)
- Giovanni Gambi
- Institut de Génétique et de Biologie Moléculaire et Cellulaire, Illkirch, France.,Centre National de la Recherche Scientifique, UMR7104, Illkirch, France.,Institut National de la Santé et de la Recherche Médicale, U1258, Illkirch, France.,Université de Strasbourg, Illkirch, France
| | - Gabrielle Mengus
- Institut de Génétique et de Biologie Moléculaire et Cellulaire, Illkirch, France.,Centre National de la Recherche Scientifique, UMR7104, Illkirch, France.,Institut National de la Santé et de la Recherche Médicale, U1258, Illkirch, France.,Université de Strasbourg, Illkirch, France
| | - Guillaume Davidson
- Institut de Génétique et de Biologie Moléculaire et Cellulaire, Illkirch, France.,Centre National de la Recherche Scientifique, UMR7104, Illkirch, France.,Institut National de la Santé et de la Recherche Médicale, U1258, Illkirch, France.,Université de Strasbourg, Illkirch, France
| | | | - Alessandro Cuomo
- Nuclear Proteomics Institute to Study Gene Expression, Milano, Italy
| | - Tiziana Bonaldi
- Nuclear Proteomics Institute to Study Gene Expression, Milano, Italy
| | - Vicky Katopodi
- Laboratory for RNA Cancer Biology, KU Leuven, Leuven, Belgium
| | - Gabriel G. Malouf
- Institut de Génétique et de Biologie Moléculaire et Cellulaire, Illkirch, France.,Centre National de la Recherche Scientifique, UMR7104, Illkirch, France.,Institut National de la Santé et de la Recherche Médicale, U1258, Illkirch, France.,Université de Strasbourg, Illkirch, France
| | - Eleonora Leucci
- Laboratory for RNA Cancer Biology, KU Leuven, Leuven, Belgium.,Corresponding Authors: Irwin Davidson, Functional Genomics and Cancer, Institut de Génétique et de Biologie Moléculaire et Cellulaire, 1 Rue Laurent Fries, Illkirch, 67404, France. E-mail: ; and Eleonora Leucci, Laboratory for RNA Cancer Biology, KU Leuven, Herestraat 49, 3000 Leuven, Belgium. E-mail:
| | - Irwin Davidson
- Institut de Génétique et de Biologie Moléculaire et Cellulaire, Illkirch, France.,Centre National de la Recherche Scientifique, UMR7104, Illkirch, France.,Institut National de la Santé et de la Recherche Médicale, U1258, Illkirch, France.,Université de Strasbourg, Illkirch, France.,Equipe Labélisée Ligue contre le Cancer.,Corresponding Authors: Irwin Davidson, Functional Genomics and Cancer, Institut de Génétique et de Biologie Moléculaire et Cellulaire, 1 Rue Laurent Fries, Illkirch, 67404, France. E-mail: ; and Eleonora Leucci, Laboratory for RNA Cancer Biology, KU Leuven, Herestraat 49, 3000 Leuven, Belgium. E-mail:
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29
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Pagliuca C, Di Leo L, De Zio D. New Insights into the Phenotype Switching of Melanoma. Cancers (Basel) 2022; 14:cancers14246118. [PMID: 36551603 PMCID: PMC9776915 DOI: 10.3390/cancers14246118] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Revised: 12/02/2022] [Accepted: 12/10/2022] [Indexed: 12/14/2022] Open
Abstract
Melanoma is considered one of the deadliest skin cancers, partly because of acquired resistance to standard therapies. The most recognized driver of resistance relies on acquired melanoma cell plasticity, or the ability to dynamically switch among differentiation phenotypes. This confers the tumor noticeable advantages. During the last year, two new features have been included in the hallmarks of cancer, namely "Unlocking phenotypic plasticity" and "Non-mutational epigenetic reprogramming". Such are inextricably intertwined as, most of the time, plasticity is not discernable at the genetic level, as it rather consists of epigenetic reprogramming heavily influenced by external factors. By analyzing current literature, this review provides reasoning about the origin of plasticity and clarifies whether such features already exist among tumors or are acquired by selection. Moreover, markers of plasticity, molecular effectors, and related tumor advantages in melanoma will be explored. Ultimately, as this new branch of tumor biology opened a wide landscape of therapeutic possibilities, in the final paragraph of this review, we will focus on newly characterized drugs targeting melanoma plasticity.
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Affiliation(s)
- Chiara Pagliuca
- Melanoma Research Team, Danish Cancer Society Research Center, 2100 Copenhagen, Denmark
| | - Luca Di Leo
- Melanoma Research Team, Danish Cancer Society Research Center, 2100 Copenhagen, Denmark
| | - Daniela De Zio
- Melanoma Research Team, Danish Cancer Society Research Center, 2100 Copenhagen, Denmark
- Department of Drug Design and Pharmacology, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
- Correspondence:
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30
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Ibáñez-Molero S, van Vliet A, Pozniak J, Hummelink K, Terry AM, Monkhorst K, Sanders J, Hofland I, Landeloos E, Van Herck Y, Bechter O, Kuilman T, Zhong W, Marine JC, Wessels L, Peeper DS. SERPINB9 is commonly amplified and high expression in cancer cells correlates with poor immune checkpoint blockade response. Oncoimmunology 2022; 11:2139074. [PMID: 36465485 PMCID: PMC9710519 DOI: 10.1080/2162402x.2022.2139074] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
Immunotherapies, in particular immune checkpoint blockade (ICB), have improved the clinical outcome of cancer patients, although many fail to mount a durable response. Several resistance mechanisms have been identified, but our understanding of the requirements for a robust ICB response is incomplete. We have engineered an MHC I/antigen: TCR-matched panel of human NSCLC cancer and T cells to identify tumor cell-intrinsic T cell resistance mechanisms. The top differentially expressed gene in resistant tumor cells was SERPINB9. This serine protease inhibitor of the effector T cell-derived molecule granzyme B prevents caspase-mediated tumor apoptosis. Concordantly, we show that genetic ablation of SERPINB9 reverts T cell resistance of NSCLC cell lines, whereas its overexpression reduces T cell sensitivity. SERPINB9 expression in NSCLC strongly correlates with a mesenchymal phenotype. We also find that SERPINB9 is commonly amplified in cancer, particularly melanoma in which it is indicative of poor prognosis. Single-cell RNA sequencing of ICB-treated melanomas revealed that SERPINB9 expression is elevated not only in cells from post- versus pre-treatment cancers, but also in ICB-refractory cancers. In NSCLC we commonly observed rare SERPINB9-positive cancer cells, possibly accounting for reservoirs of ICB-resistant cells. While underscoring SERPINB9 as a potential target to combat immunotherapy resistance, these results suggest its potential to serve as a prognostic and predictive biomarker.
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Affiliation(s)
- Sofía Ibáñez-Molero
- Division of Molecular Oncology and Immunology, Netherlands Cancer Institute, Plesmanlaan, Amsterdam, the Netherlands
| | - Alex van Vliet
- Division of Molecular Oncology and Immunology, Netherlands Cancer Institute, Plesmanlaan, Amsterdam, the Netherlands
| | - Joanna Pozniak
- Laboratory for Molecular Cancer Biology, VIB Center for Cancer Biology, KU Leuven, Leuven, Belgium
| | - Karlijn Hummelink
- Department of Thoracic oncology, The Netherlands Cancer Institute, Amsterdam, Netherlands,Department of Pathology, The Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Alexandra M. Terry
- Division of Molecular Oncology and Immunology, Netherlands Cancer Institute, Plesmanlaan, Amsterdam, the Netherlands,Current address: Genmab, Utrecht, The Netherlands
| | - Kim Monkhorst
- Department of Pathology, The Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Joyce Sanders
- Department of Pathology, The Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Ingrid Hofland
- Department of Pathology, The Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Ewout Landeloos
- Laboratory for Molecular Cancer Biology, VIB Center for Cancer Biology, KU Leuven, Leuven, Belgium
| | - Yannick Van Herck
- Department of General Medical Oncology, UZ Leuven Laboratory of Experimental Oncology, Leuven, Belgium
| | - Oliver Bechter
- Department of General Medical Oncology, UZ Leuven Laboratory of Experimental Oncology, Leuven, Belgium
| | - Thomas Kuilman
- Division of Molecular Oncology and Immunology, Netherlands Cancer Institute, Plesmanlaan, Amsterdam, the Netherlands,Current address: Neogene Therapeutics, Amsterdam, The Netherlands
| | | | - Jean-Christophe Marine
- Laboratory for Molecular Cancer Biology, VIB Center for Cancer Biology, KU Leuven, Leuven, Belgium
| | - Lodewyk Wessels
- Department of Molecular Carcinogenesis, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Daniel S. Peeper
- Division of Molecular Oncology and Immunology, Netherlands Cancer Institute, Plesmanlaan, Amsterdam, the Netherlands,CONTACT Daniel S. Peeper Division of Molecular Oncology and Immunology, Netherlands Cancer Institute, Plesmanlaan 121, Amsterdam1066 CX, the Netherlands
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31
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Decoding molecular programs in melanoma brain metastases. Nat Commun 2022; 13:7304. [PMID: 36435874 PMCID: PMC9701224 DOI: 10.1038/s41467-022-34899-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Accepted: 11/07/2022] [Indexed: 11/28/2022] Open
Abstract
Melanoma brain metastases (MBM) variably respond to therapeutic interventions; thus determining patient's prognosis. However, the mechanisms that govern therapy response are poorly understood. Here, we use a multi-OMICS approach and targeted sequencing (TargetSeq) to unravel the programs that potentially control the development of progressive intracranial disease. Molecularly, the expression of E-cadherin (Ecad) or NGFR, the BRAF mutation state and level of immune cell infiltration subdivides tumors into proliferative/pigmented and invasive/stem-like/therapy-resistant irrespective of the intracranial location. The analysis of MAPK inhibitor-naive and refractory MBM reveals switching from Ecad-associated into NGFR-associated programs during progression. NGFR-associated programs control cell migration and proliferation via downstream transcription factors such as SOX4. Moreover, global methylome profiling uncovers 46 differentially methylated regions that discriminate BRAFmut and wildtype MBM. In summary, we propose that the expression of Ecad and NGFR sub- classifies MBM and suggest that the Ecad-to-NGFR phenotype switch is a rate-limiting process which potentially indicates drug-response and intracranial progression states in melanoma patients.
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32
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Jogerst K, Boland G. Could SIRPA expression predict response to anti-PD-1 immunotherapy? Cancer Cell 2022; 40:1269-1270. [PMID: 36332626 DOI: 10.1016/j.ccell.2022.10.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Immune checkpoint inhibitors (ICIs) offer significant promise for patients with melanoma; however, many patients succumb to de novo or acquired ICI resistance. In this issue of Cancer Cell, Zhou et al. propose a mechanism for signal-regulatory protein α1 (SIRPα) expression and describe how its loss may contribute to immunotherapy resistance.
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Affiliation(s)
- Kristen Jogerst
- Department of Surgery, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Genevieve Boland
- Department of Surgery, Massachusetts General Hospital, Boston, MA 02114, USA; Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA.
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33
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Zhu EY, Riordan JD, Vanneste M, Henry MD, Stipp CS, Dupuy AJ. SRC-RAC1 signaling drives drug resistance to BRAF inhibition in de-differentiated cutaneous melanomas. NPJ Precis Oncol 2022; 6:74. [PMID: 36271142 PMCID: PMC9587254 DOI: 10.1038/s41698-022-00310-7] [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: 11/23/2021] [Accepted: 08/31/2022] [Indexed: 11/09/2022] Open
Abstract
Rare gain-of-function mutations in RAC1 drive drug resistance to targeted BRAF inhibition in cutaneous melanoma. Here, we show that wildtype RAC1 is a critical driver of growth and drug resistance, but only in a subset of melanomas with elevated markers of de-differentiation. Similarly, SRC inhibition also selectively sensitized de-differentiated melanomas to BRAF inhibition. One possible mechanism may be the suppression of the de-differentiated state, as SRC and RAC1 maintained markers of de-differentiation in human melanoma cells. The functional differences between melanoma subtypes suggest that the clinical management of cutaneous melanoma can be enhanced by the knowledge of differentiation status. To simplify the task of classification, we developed a binary classification strategy based on a small set of ten genes. Using this gene set, we reliably determined the differentiation status previously defined by hundreds of genes. Overall, our study informs strategies that enhance the precision of BRAFi by discovering unique vulnerabilities of the de-differentiated cutaneous melanoma subtype and creating a practical method to resolve differentiation status.
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Affiliation(s)
- Eliot Y Zhu
- Department of Anatomy and Cell Biology, The University of Iowa, Iowa City, IA, USA.,Holden Comprehensive Cancer Center, The University of Iowa, Iowa City, IA, USA.,Cancer Biology Graduate Program, The University of Iowa, Iowa City, IA, USA.,The Medical Scientist Training Program, The University of Iowa, Iowa City, IA, USA
| | - Jesse D Riordan
- Department of Anatomy and Cell Biology, The University of Iowa, Iowa City, IA, USA.,Holden Comprehensive Cancer Center, The University of Iowa, Iowa City, IA, USA
| | - Marion Vanneste
- Holden Comprehensive Cancer Center, The University of Iowa, Iowa City, IA, USA.,Department of Molecular Physiology and Biophysics, The University of Iowa, Iowa City, IA, USA
| | - Michael D Henry
- Holden Comprehensive Cancer Center, The University of Iowa, Iowa City, IA, USA.,Department of Molecular Physiology and Biophysics, The University of Iowa, Iowa City, IA, USA
| | - Christopher S Stipp
- Holden Comprehensive Cancer Center, The University of Iowa, Iowa City, IA, USA.,Department of Biology, The University of Iowa, Iowa City, IA, USA
| | - Adam J Dupuy
- Department of Anatomy and Cell Biology, The University of Iowa, Iowa City, IA, USA. .,Holden Comprehensive Cancer Center, The University of Iowa, Iowa City, IA, USA.
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Yamauchi T, Shangraw S, Zhai Z, Ravindran Menon D, Batta N, Dellavalle RP, Fujita M. Alcohol as a Non-UV Social-Environmental Risk Factor for Melanoma. Cancers (Basel) 2022; 14:5010. [PMID: 36291794 PMCID: PMC9599745 DOI: 10.3390/cancers14205010] [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: 08/17/2022] [Revised: 10/06/2022] [Accepted: 10/07/2022] [Indexed: 12/24/2022] Open
Abstract
Although cancer mortality has declined among the general population, the incidence of melanoma continues to rise. While identifying high-risk cohorts with genetic risk factors improves public health initiatives and clinical care management, recognizing modifiable risk factors such as social-environmental risk factors would also affect the methods of patient outreach and education. One major modifiable social-environmental risk factor associated with melanoma is ultraviolet (UV) radiation. However, not all forms of melanoma are correlated with sun exposure or occur in sun-exposed areas. Additionally, UV exposure is rarely associated with tumor progression. Another social-environmental factor, pregnancy, does not explain the sharply increased incidence of melanoma. Recent studies have demonstrated that alcohol consumption is positively linked with an increased risk of cancers, including melanoma. This perspective review paper summarizes epidemiological data correlating melanoma incidence with alcohol consumption, describes the biochemical mechanisms of ethanol metabolism, and discusses how ethanol and ethanol metabolites contribute to human cancer, including melanoma.
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Affiliation(s)
- Takeshi Yamauchi
- Department of Dermatology, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Sarah Shangraw
- Department of Dermatology, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Zili Zhai
- Department of Dermatology, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Dinoop Ravindran Menon
- Department of Dermatology, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Nisha Batta
- Department of Dermatology, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Robert P Dellavalle
- Department of Dermatology, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
- Department of Veterans Affairs Medical Center, VA Eastern Colorado Health Care System, Aurora, CO 80045, USA
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Mayumi Fujita
- Department of Dermatology, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
- Department of Veterans Affairs Medical Center, VA Eastern Colorado Health Care System, Aurora, CO 80045, USA
- Department of Immunology and Microbiology, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
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35
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Identification of Prognostic Genes in Gliomas Based on Increased Microenvironment Stiffness. Cancers (Basel) 2022; 14:cancers14153659. [PMID: 35954323 PMCID: PMC9367320 DOI: 10.3390/cancers14153659] [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: 07/05/2022] [Revised: 07/20/2022] [Accepted: 07/22/2022] [Indexed: 11/16/2022] Open
Abstract
With a median survival time of 15 months, glioblastoma multiforme is one of the most aggressive primary brain cancers. The crucial roles played by the extracellular matrix (ECM) stiffness in glioma progression and treatment resistance have been reported in numerous studies. However, the association between ECM-stiffness-regulated genes and the prognosis of glioma patients remains to be explored. Thus, using bioinformatics analysis, we first identified 180 stiffness-dependent genes from an RNA-Seq dataset, and then evaluated their prognosis in The Cancer Genome Atlas (TCGA) glioma dataset. Our results showed that 11 stiffness-dependent genes common between low- and high-grade gliomas were prognostic. After validation using the Chinese Glioma Genome Atlas (CGGA) database, we further identified four stiffness-dependent prognostic genes: FN1, ITGA5, OSMR, and NGFR. In addition to high-grade glioma, overexpression of the four-gene signature also showed poor prognosis in low-grade glioma patients. Moreover, our analysis confirmed that the expression levels of stiffness-dependent prognostic genes in high-grade glioma were significantly higher than in low-grade glioma, suggesting that these genes were associated with glioma progression. Based on a pathophysiology-inspired approach, our findings illuminate the link between ECM stiffness and the prognosis of glioma patients and suggest a signature of four stiffness-dependent genes as potential therapeutic targets.
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36
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Ng MF, Simmons JL, Boyle GM. Heterogeneity in Melanoma. Cancers (Basel) 2022; 14:cancers14123030. [PMID: 35740696 PMCID: PMC9221188 DOI: 10.3390/cancers14123030] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Revised: 06/14/2022] [Accepted: 06/17/2022] [Indexed: 02/05/2023] Open
Abstract
There is growing evidence that tumour heterogeneity has an imperative role in cancer development, evolution and resistance to therapy. Continuing advancements in biomedical research enable tumour heterogeneity to be observed and studied more critically. As one of the most heterogeneous human cancers, melanoma displays a high level of biological complexity during disease progression. However, much is still unknown regarding melanoma tumour heterogeneity, as well as the role it plays in disease progression and treatment response. This review aims to provide a concise summary of the importance of tumour heterogeneity in melanoma.
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Affiliation(s)
- Mei Fong Ng
- Cancer Drug Mechanisms Group, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia; (M.F.N.); (J.L.S.)
- School of Biomedical Sciences, Faculty of Health, Queensland University of Technology, Brisbane, QLD 4000, Australia
| | - Jacinta L. Simmons
- Cancer Drug Mechanisms Group, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia; (M.F.N.); (J.L.S.)
- School of Biomedical Sciences, Faculty of Health, Queensland University of Technology, Brisbane, QLD 4000, Australia
- School of Biomedical Sciences, Faculty of Medicine, University of Queensland, Brisbane, QLD 4072, Australia
| | - Glen M. Boyle
- Cancer Drug Mechanisms Group, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia; (M.F.N.); (J.L.S.)
- School of Biomedical Sciences, Faculty of Health, Queensland University of Technology, Brisbane, QLD 4000, Australia
- School of Biomedical Sciences, Faculty of Medicine, University of Queensland, Brisbane, QLD 4072, Australia
- Correspondence:
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37
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Creasy CA, Meng YJ, Forget MA, Karpinets T, Tomczak K, Stewart C, Torres-Cabala CA, Pilon-Thomas S, Sarnaik AA, Mulé JJ, Garraway L, Bustos M, Zhang J, Patel SP, Diab A, Glitza IC, Yee C, Tawbi H, Wong MK, McQuade J, Hoon DSB, Davies MA, Hwu P, Amaria RN, Haymaker C, Beroukhim R, Bernatchez C. Genomic Correlates of Outcome in Tumor-Infiltrating Lymphocyte Therapy for Metastatic Melanoma. Clin Cancer Res 2022; 28:1911-1924. [PMID: 35190823 DOI: 10.1158/1078-0432.ccr-21-1060] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Revised: 07/01/2021] [Accepted: 02/16/2022] [Indexed: 11/16/2022]
Abstract
PURPOSE Adoptive cell therapy (ACT) of tumor-infiltrating lymphocytes (TIL) historically yields a 40%-50% response rate in metastatic melanoma. However, the determinants of outcome are largely unknown. EXPERIMENTAL DESIGN We investigated tumor-based genomic correlates of overall survival (OS), progression-free survival (PFS), and response to therapy by interrogating tumor samples initially collected to generate TIL infusion products. RESULTS Whole-exome sequencing (WES) data from 64 samples indicated a positive correlation between neoantigen load and OS, but not PFS or response to therapy. RNA sequencing analysis of 34 samples showed that expression of PDE1C, RTKN2, and NGFR was enriched in responders who had improved PFS and OS. In contrast, the expression of ELFN1 was enriched in patients with unfavorable response, poor PFS and OS, whereas enhanced methylation of ELFN1 was observed in patients with favorable outcomes. Expression of ELFN1, NGFR, and PDE1C was mainly found in cancer-associated fibroblasts and endothelial cells in tumor tissues across different cancer types in publicly available single-cell RNA sequencing datasets, suggesting a role for elements of the tumor microenvironment in defining the outcome of TIL therapy. CONCLUSIONS Our findings suggest that transcriptional features of melanomas correlate with outcomes after TIL therapy and may provide candidates to guide patient selection.
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Affiliation(s)
- Caitlin A Creasy
- Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center (MDACC), Houston, Texas
| | - Yuzhong Jeff Meng
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts.,Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, Massachusetts.,Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Marie-Andrée Forget
- Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center (MDACC), Houston, Texas
| | - Tatiana Karpinets
- Department of Genomic Medicine, The University of Texas MDACC, Houston, Texas
| | - Katarzyna Tomczak
- Department of Translational Molecular Pathology, The University of Texas MDACC, Houston, Texas
| | - Chip Stewart
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts
| | | | - Shari Pilon-Thomas
- Department of Immunology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.,Department of Cutaneous Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Amod A Sarnaik
- Department of Cutaneous Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - James J Mulé
- Department of Immunology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Levi Garraway
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts.,Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, Massachusetts.,Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Matias Bustos
- Department of Translational Molecular Medicine, Saint John's Cancer Institute, Saint John's Health Center, Santa Monica, California
| | - Jianhua Zhang
- Department of Genomic Medicine, The University of Texas MDACC, Houston, Texas
| | - Sapna P Patel
- Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center (MDACC), Houston, Texas
| | - Adi Diab
- Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center (MDACC), Houston, Texas
| | - Isabella C Glitza
- Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center (MDACC), Houston, Texas
| | - Cassian Yee
- Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center (MDACC), Houston, Texas
| | - Hussein Tawbi
- Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center (MDACC), Houston, Texas
| | - Michael K Wong
- Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center (MDACC), Houston, Texas
| | - Jennifer McQuade
- Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center (MDACC), Houston, Texas
| | - Dave S B Hoon
- Department of Translational Molecular Medicine, Saint John's Cancer Institute, Saint John's Health Center, Santa Monica, California
| | - Michael A Davies
- Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center (MDACC), Houston, Texas
| | - Patrick Hwu
- Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center (MDACC), Houston, Texas
| | - Rodabe N Amaria
- Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center (MDACC), Houston, Texas
| | - Cara Haymaker
- Department of Translational Molecular Pathology, The University of Texas MDACC, Houston, Texas
| | - Rameen Beroukhim
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts.,Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, Massachusetts.,Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Chantale Bernatchez
- Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center (MDACC), Houston, Texas.,Department of Translational Molecular Pathology, The University of Texas MDACC, Houston, Texas
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38
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Oliveira G, Stromhaug K, Cieri N, Iorgulescu JB, Klaeger S, Wolff JO, Rachimi S, Chea V, Krause K, Freeman SS, Zhang W, Li S, Braun DA, Neuberg D, Carr SA, Livak KJ, Frederick DT, Fritsch EF, Wind-Rotolo M, Hacohen N, Sade-Feldman M, Yoon CH, Keskin DB, Ott PA, Rodig SJ, Boland GM, Wu CJ. Landscape of helper and regulatory antitumour CD4 + T cells in melanoma. Nature 2022; 605:532-538. [PMID: 35508657 PMCID: PMC9815755 DOI: 10.1038/s41586-022-04682-5] [Citation(s) in RCA: 67] [Impact Index Per Article: 33.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Accepted: 03/23/2022] [Indexed: 01/11/2023]
Abstract
Within the tumour microenvironment, CD4+ T cells can promote or suppress antitumour responses through the recognition of antigens presented by human leukocyte antigen (HLA) class II molecules1,2, but how cancers co-opt these physiologic processes to achieve immune evasion remains incompletely understood. Here we performed in-depth analysis of the phenotype and tumour specificity of CD4+ T cells infiltrating human melanoma specimens, finding that exhausted cytotoxic CD4+ T cells could be directly induced by melanoma cells through recognition of HLA class II-restricted neoantigens, and also HLA class I-restricted tumour-associated antigens. CD4+ T regulatory (TReg) cells could be indirectly elicited through presentation of tumour antigens via antigen-presenting cells. Notably, numerous tumour-reactive CD4+ TReg clones were stimulated directly by HLA class II-positive melanoma and demonstrated specificity for melanoma neoantigens. This phenomenon was observed in the presence of an extremely high tumour neoantigen load, which we confirmed to be associated with HLA class II positivity through the analysis of 116 melanoma specimens. Our data reveal the landscape of infiltrating CD4+ T cells in melanoma and point to the presentation of HLA class II-restricted neoantigens and direct engagement of immunosuppressive CD4+ TReg cells as a mechanism of immune evasion that is favoured in HLA class II-positive melanoma.
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Affiliation(s)
- Giacomo Oliveira
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
- Harvard Medical School, Boston, MA, USA.
| | - Kari Stromhaug
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Nicoletta Cieri
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - J Bryan Iorgulescu
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA
| | - Susan Klaeger
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Jacquelyn O Wolff
- Center for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | | | - Vipheaviny Chea
- Translational Immunogenomics Laboratory, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Kate Krause
- Department of surgery, Massachusetts General Hospital, Boston, MA, USA
| | - Samuel S Freeman
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Wandi Zhang
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Shuqiang Li
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Translational Immunogenomics Laboratory, Dana-Farber Cancer Institute, Boston, MA, USA
| | - David A Braun
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center of Molecular and Cellular Oncology, Yale Cancer Center, Yale School of Medicine, New Haven, CT, USA
| | - Donna Neuberg
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Steven A Carr
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Kenneth J Livak
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Translational Immunogenomics Laboratory, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Dennie T Frederick
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA
| | - Edward F Fritsch
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | - Nir Hacohen
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA
| | - Moshe Sade-Feldman
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA
| | - Charles H Yoon
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Division of Surgical Oncology, Brigham and Women's Hospital Boston, Boston, MA, USA
| | - Derin B Keskin
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Translational Immunogenomics Laboratory, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Computer Science, Metropolitan College, Boston University, Boston, MA, USA
- Department of Health Technology, Technical University of Denmark, Lyngby, Denmark
| | - Patrick A Ott
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Scott J Rodig
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Genevieve M Boland
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of surgery, Massachusetts General Hospital, Boston, MA, USA
| | - Catherine J Wu
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
- Harvard Medical School, Boston, MA, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
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39
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Benboubker V, Boivin F, Dalle S, Caramel J. Cancer Cell Phenotype Plasticity as a Driver of Immune Escape in Melanoma. Front Immunol 2022; 13:873116. [PMID: 35432344 PMCID: PMC9012258 DOI: 10.3389/fimmu.2022.873116] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Accepted: 03/04/2022] [Indexed: 12/15/2022] Open
Abstract
Immunotherapies blocking negative immune checkpoints are now approved for the treatment of a growing number of cancers. However, even in metastatic melanoma, where sustained responses are observed, a significant number of patients still do not respond or display resistance. Increasing evidence indicates that non-genetic cancer cell-intrinsic alterations play a key role in resistance to therapies and immune evasion. Cancer cell plasticity, mainly associated with the epithelial-to-mesenchymal transition in carcinoma, relies on transcriptional, epigenetic or translational reprogramming. In melanoma, an EMT-like dedifferentiation process is characterized by the acquisition of invasive or neural crest stem cell-like features. Herein, we discuss recent findings on the specific roles of phenotypic reprogramming of melanoma cells in driving immune evasion and resistance to immunotherapies. The mechanisms by which dedifferentiated melanoma cells escape T cell lysis, mediate T cell exclusion or remodel the immune microenvironment will be detailed. The expanded knowledge on tumor cell plasticity in melanoma should contribute to the development of novel therapeutic combination strategies to further improve outcomes in this deadly metastatic cancer.
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Affiliation(s)
- Valentin Benboubker
- Cancer Research Center of Lyon, Université de Lyon, Université Claude Bernard Lyon 1, INSERM, CNRS, Centre Léon Bérard, "Cancer cell Plasticity in Melanoma" team, Lyon, France
| | - Félix Boivin
- Cancer Research Center of Lyon, Université de Lyon, Université Claude Bernard Lyon 1, INSERM, CNRS, Centre Léon Bérard, "Cancer cell Plasticity in Melanoma" team, Lyon, France
| | - Stéphane Dalle
- Cancer Research Center of Lyon, Université de Lyon, Université Claude Bernard Lyon 1, INSERM, CNRS, Centre Léon Bérard, "Cancer cell Plasticity in Melanoma" team, Lyon, France.,Dermatology Unit, Hospices Civils de Lyon, CH Lyon Sud, Pierre Bénite Cedex, France
| | - Julie Caramel
- Cancer Research Center of Lyon, Université de Lyon, Université Claude Bernard Lyon 1, INSERM, CNRS, Centre Léon Bérard, "Cancer cell Plasticity in Melanoma" team, Lyon, France
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40
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Freeman SS, Sade-Feldman M, Kim J, Stewart C, Gonye AL, Ravi A, Arniella MB, Gushterova I, LaSalle TJ, Blaum EM, Yizhak K, Frederick DT, Sharova T, Leshchiner I, Elagina L, Spiro OG, Livitz D, Rosebrock D, Aguet F, Carrot-Zhang J, Ha G, Lin Z, Chen JH, Barzily-Rokni M, Hammond MR, Vitzthum von Eckstaedt HC, Blackmon SM, Jiao YJ, Gabriel S, Lawrence DP, Duncan LM, Stemmer-Rachamimov AO, Wargo JA, Flaherty KT, Sullivan RJ, Boland GM, Meyerson M, Getz G, Hacohen N. Combined tumor and immune signals from genomes or transcriptomes predict outcomes of checkpoint inhibition in melanoma. Cell Rep Med 2022; 3:100500. [PMID: 35243413 PMCID: PMC8861826 DOI: 10.1016/j.xcrm.2021.100500] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 09/26/2021] [Accepted: 12/20/2021] [Indexed: 12/20/2022]
Abstract
Immune checkpoint blockade (CPB) improves melanoma outcomes, but many patients still do not respond. Tumor mutational burden (TMB) and tumor-infiltrating T cells are associated with response, and integrative models improve survival prediction. However, integrating immune/tumor-intrinsic features using data from a single assay (DNA/RNA) remains underexplored. Here, we analyze whole-exome and bulk RNA sequencing of tumors from new and published cohorts of 189 and 178 patients with melanoma receiving CPB, respectively. Using DNA, we calculate T cell and B cell burdens (TCB/BCB) from rearranged TCR/Ig sequences and find that patients with TMBhigh and TCBhigh or BCBhigh have improved outcomes compared to other patients. By combining pairs of immune- and tumor-expressed genes, we identify three gene pairs associated with response and survival, which validate in independent cohorts. The top model includes lymphocyte-expressed MAP4K1 and tumor-expressed TBX3. Overall, RNA or DNA-based models combining immune and tumor measures improve predictions of melanoma CPB outcomes.
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Affiliation(s)
- Samuel S. Freeman
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA
| | - Moshe Sade-Feldman
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Medicine, Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Jaegil Kim
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Chip Stewart
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Anna L.K. Gonye
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Medicine, Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Arvind Ravi
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | | | - Irena Gushterova
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Medicine, Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Thomas J. LaSalle
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Medicine, Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Emily M. Blaum
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Medicine, Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Keren Yizhak
- Department of Cell Biology and Cancer Science, Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa 2611001, Israel
| | - Dennie T. Frederick
- Department of Medicine, Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Tatyana Sharova
- Department of Medicine, Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Ignaty Leshchiner
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Medicine, Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA
| | | | - Oliver G. Spiro
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Dimitri Livitz
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | | | - François Aguet
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Jian Carrot-Zhang
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Gavin Ha
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle 98109, WA, USA
| | - Ziao Lin
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Harvard University, Cambridge MA, 02138
| | - Jonathan H. Chen
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Pathology, Massachusetts General Hospital, Boston 02114, MA, USA
| | - Michal Barzily-Rokni
- Department of Medicine, Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Marc R. Hammond
- Department of Medicine, Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA
| | | | - Shauna M. Blackmon
- Department of Medicine, Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Yunxin J. Jiao
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Stacey Gabriel
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Donald P. Lawrence
- Department of Medical Oncology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Lyn M. Duncan
- Department of Pathology, Massachusetts General Hospital, Boston 02114, MA, USA
| | | | - Jennifer A. Wargo
- Department of Surgical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Keith T. Flaherty
- Department of Medicine, Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Ryan J. Sullivan
- Department of Medicine, Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Genevieve M. Boland
- Department of Surgery, Massachusetts General Hospital, Boston 02115, MA, USA
| | - Matthew Meyerson
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
- Department of Genetics, Harvard Medical School, Boston 02115, MA, USA
| | - Gad Getz
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Medicine, Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA
- Harvard University, Cambridge MA, 02138
- Department of Pathology, Harvard Medical School, Boston 02115, MA, USA
| | - Nir Hacohen
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Medicine, Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Medicine, Harvard Medical School, Boston 02115, MA, USA
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Ellegate J, Mastri M, Isenhart E, Krolewski JJ, Chatta G, Kauffman E, Moffitt M, Eng KH. Loss of MAGEC3 Expression Is Associated with Prognosis in Advanced Ovarian Cancers. Cancers (Basel) 2022; 14:cancers14030731. [PMID: 35158998 PMCID: PMC8833712 DOI: 10.3390/cancers14030731] [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: 12/29/2021] [Revised: 01/21/2022] [Accepted: 01/24/2022] [Indexed: 02/04/2023] Open
Abstract
Simple Summary Familial studies connect variants in the X-linked gene MAGEC3 to early-onset ovarian cancers. In this retrospective cohort study, we determined that, unlike other MAGE family members, the MAGEC3 protein is normally expressed in ovarian tissue but is lost in half of the ovarian cancers. Similar to other predisposition genes like BRCA2, survival modeling suggests that expression loss is associated with favorable progression-free survival, and continued expression is associated with response to platinum therapy. Because of the assumed antigenicity of MAGE genes, we tested and observed associations with lymphocyte infiltration, NY-ESO-1 seropositivity, and the co-expression of tumor antigens at Xq28. Using transcriptomic modeling, we predicted that MAGEC3 expression is associated with stress-related cell cycle stalling and DNA repair pathway expression. Abstract Rare variants in MAGEC3 are associated with BRCA negative, early-onset ovarian cancers. Given this association, we evaluated the impact of MAGEC3 protein expression on prognosis and transcription. We quantified normal and tumor protein expression of MAGEC3 via immunohistochemistry in n = 394 advanced ovarian cancers, assessed the correlation of these values with clinicopathologic and immunological features and modeled survival using univariate and multivariate models. To extend these results, we quantified MAGEC3 protein expression in n = 180 cancers and used matching RNA sequencing data to determine MAGEC3-associated differentially expressed genes and to build an RNA-based model of MAGEC3 protein levels. This model was tested in a third independent cohort of patients from TCGA’s OV dataset (n = 282). MAGEC3 protein was sporadically lost in ovarian cancers, with half of the cases falling below the 9.5th percentile of normal tissue expression. Cases with MAGEC3 loss demonstrated better progression-free survival [HR = 0.71, p = 0.004], and analyses performed on predicted protein scores were consistent [HR = 0.57 p = 0.002]. MAGEC3 protein was correlated with CD8 protein expression [Pearson’s r = 0.176, p = 0.011], NY-ESO-1 seropositivity, and mRNA expression of tumor antigens at Xq28. Results of gene set enrichment analysis showed that genes associated with MAGEC3 protein expression cluster around G2/M checkpoint (NES = 3.20, FDR < 0.001) and DNA repair (NES = 2.28, FDR < 0.001) hallmark pathways. These results show that MAGEC3 is a prognostic biomarker in ovarian cancer.
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Affiliation(s)
- James Ellegate
- Department of Cancer Genetics and Genomics, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA; (J.E.J.); (M.M.); (E.I.); (J.J.K.)
| | - Michalis Mastri
- Department of Cancer Genetics and Genomics, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA; (J.E.J.); (M.M.); (E.I.); (J.J.K.)
| | - Emily Isenhart
- Department of Cancer Genetics and Genomics, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA; (J.E.J.); (M.M.); (E.I.); (J.J.K.)
| | - John J. Krolewski
- Department of Cancer Genetics and Genomics, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA; (J.E.J.); (M.M.); (E.I.); (J.J.K.)
| | - Gurkamal Chatta
- Department of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA;
| | - Eric Kauffman
- Department of Urology, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA;
| | - Melissa Moffitt
- Department of Gynecologic Oncology, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA;
| | - Kevin H. Eng
- Department of Cancer Genetics and Genomics, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA; (J.E.J.); (M.M.); (E.I.); (J.J.K.)
- Department of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA
- Correspondence:
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García-Silva S, Benito-Martín A, Nogués L, Hernández-Barranco A, Mazariegos MS, Santos V, Hergueta-Redondo M, Ximénez-Embún P, Kataru RP, Lopez AA, Merino C, Sánchez-Redondo S, Graña-Castro O, Matei I, Nicolás-Avila JÁ, Torres-Ruiz R, Rodríguez-Perales S, Martínez L, Pérez-Martínez M, Mata G, Szumera-Ciećkiewicz A, Kalinowska I, Saltari A, Martínez-Gómez JM, Hogan SA, Saragovi HU, Ortega S, Garcia-Martin C, Boskovic J, Levesque MP, Rutkowski P, Hidalgo A, Muñoz J, Megías D, Mehrara BJ, Lyden D, Peinado H. Melanoma-derived small extracellular vesicles induce lymphangiogenesis and metastasis through an NGFR-dependent mechanism. NATURE CANCER 2021; 2:1387-1405. [PMID: 34957415 PMCID: PMC8697753 DOI: 10.1038/s43018-021-00272-y] [Citation(s) in RCA: 79] [Impact Index Per Article: 26.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/14/2023]
Abstract
Secreted extracellular vesicles (EVs) influence the tumor microenvironment and promote distal metastasis. Here, we analyzed the involvement of melanoma-secreted EVs in lymph node pre-metastatic niche formation in murine models. We found that small EVs (sEVs) derived from metastatic melanoma cell lines were enriched in nerve growth factor receptor (NGFR, p75NTR), spread through the lymphatic system and were taken up by lymphatic endothelial cells, reinforcing lymph node metastasis. Remarkably, sEVs enhanced lymphangiogenesis and tumor cell adhesion by inducing ERK kinase, nuclear factor (NF)-κB activation and intracellular adhesion molecule (ICAM)-1 expression in lymphatic endothelial cells. Importantly, ablation or inhibition of NGFR in sEVs reversed the lymphangiogenic phenotype, decreased lymph node metastasis and extended survival in pre-clinical models. Furthermore, NGFR expression was augmented in human lymph node metastases relative to that in matched primary tumors, and the frequency of NGFR+ metastatic melanoma cells in lymph nodes correlated with patient survival. In summary, we found that NGFR is secreted in melanoma-derived sEVs, reinforcing lymph node pre-metastatic niche formation and metastasis.
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Affiliation(s)
- Susana García-Silva
- Microenvironment and Metastasis Laboratory, Molecular Oncology Programme, Spanish National Cancer Research Center (CNIO), Madrid, Spain
| | - Alberto Benito-Martín
- Children's Cancer and Blood Foundation Laboratories, Departments of Pediatrics and Cell and Developmental Biology, Weill Cornell Medical College, New York, NY, USA
| | - Laura Nogués
- Microenvironment and Metastasis Laboratory, Molecular Oncology Programme, Spanish National Cancer Research Center (CNIO), Madrid, Spain
| | - Alberto Hernández-Barranco
- Microenvironment and Metastasis Laboratory, Molecular Oncology Programme, Spanish National Cancer Research Center (CNIO), Madrid, Spain
| | - Marina S Mazariegos
- Microenvironment and Metastasis Laboratory, Molecular Oncology Programme, Spanish National Cancer Research Center (CNIO), Madrid, Spain
| | - Vanesa Santos
- Microenvironment and Metastasis Laboratory, Molecular Oncology Programme, Spanish National Cancer Research Center (CNIO), Madrid, Spain
| | - Marta Hergueta-Redondo
- Microenvironment and Metastasis Laboratory, Molecular Oncology Programme, Spanish National Cancer Research Center (CNIO), Madrid, Spain
| | - Pilar Ximénez-Embún
- Proteomics Unit, ProteoRed-ISCIII, Spanish National Cancer Research Centre (CNIO), Madrid, Spain
| | - Raghu P Kataru
- Department of Surgery, Plastic and Reconstructive Surgery Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ana Amor Lopez
- Microenvironment and Metastasis Laboratory, Molecular Oncology Programme, Spanish National Cancer Research Center (CNIO), Madrid, Spain
| | - Cristina Merino
- Microenvironment and Metastasis Laboratory, Molecular Oncology Programme, Spanish National Cancer Research Center (CNIO), Madrid, Spain
| | - Sara Sánchez-Redondo
- Microenvironment and Metastasis Laboratory, Molecular Oncology Programme, Spanish National Cancer Research Center (CNIO), Madrid, Spain
| | - Osvaldo Graña-Castro
- Bioinformatics Unit, Structural Biology Programme, Spanish National Cancer Research Centre (CNIO), Madrid, Spain
| | - Irina Matei
- Children's Cancer and Blood Foundation Laboratories, Departments of Pediatrics and Cell and Developmental Biology, Weill Cornell Medical College, New York, NY, USA
| | - José Ángel Nicolás-Avila
- Area of Developmental and Cell Biology, Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain
| | - Raúl Torres-Ruiz
- Molecular Cytogenetics Unit, Human Cancer Genetics Programme, Spanish National Cancer Research Center (CNIO), Madrid, Spain
| | - Sandra Rodríguez-Perales
- Molecular Cytogenetics Unit, Human Cancer Genetics Programme, Spanish National Cancer Research Center (CNIO), Madrid, Spain
| | - Lola Martínez
- Flow Cytometry Unit, Biotechnology Programme, Spanish National Cancer Research Center (CNIO), Madrid, Spain
| | - Manuel Pérez-Martínez
- Cofocal Microscopy Unit, Biotechnology Programme, Spanish National Cancer Research Center (CNIO), Madrid, Spain
| | - Gadea Mata
- Cofocal Microscopy Unit, Biotechnology Programme, Spanish National Cancer Research Center (CNIO), Madrid, Spain
| | - Anna Szumera-Ciećkiewicz
- Department of Pathology and Laboratory Medicine, Maria Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland
- Diagnostic Hematology Department, Institute of Hematology and Transfusion Medicine, Warsaw, Poland
| | - Iwona Kalinowska
- Department of Soft Tissue/Bone Sarcoma and Melanoma, Maria Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland
| | - Annalisa Saltari
- Department of Dermatology, University of Zurich, University of Zurich Hospital, Zurich, Switzerland
| | - Julia M Martínez-Gómez
- Department of Dermatology, University of Zurich, University of Zurich Hospital, Zurich, Switzerland
| | - Sabrina A Hogan
- Department of Dermatology, University of Zurich, University of Zurich Hospital, Zurich, Switzerland
| | - H Uri Saragovi
- Lady Davis Institute, Jewish General Hospital, Montreal, Quebec, Canada
- Department of Pharmacology and Therapeutics, McGill University, Montreal, Quebec, Canada
| | - Sagrario Ortega
- Transgenic Mice Unit, Biotechnology Programme, Spanish National Cancer Research Center (CNIO), Madrid, Spain
| | - Carmen Garcia-Martin
- Electron Microscopy Unit, Spanish National Cancer Research Center (CNIO), Madrid, Spain
| | - Jasminka Boskovic
- Electron Microscopy Unit, Spanish National Cancer Research Center (CNIO), Madrid, Spain
| | - Mitchell P Levesque
- Department of Dermatology, University of Zurich, University of Zurich Hospital, Zurich, Switzerland
| | - Piotr Rutkowski
- Department of Soft Tissue/Bone Sarcoma and Melanoma, Maria Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland
| | - Andrés Hidalgo
- Area of Developmental and Cell Biology, Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain
| | - Javier Muñoz
- Proteomics Unit, ProteoRed-ISCIII, Spanish National Cancer Research Centre (CNIO), Madrid, Spain
| | - Diego Megías
- Cofocal Microscopy Unit, Biotechnology Programme, Spanish National Cancer Research Center (CNIO), Madrid, Spain
| | - Babak J Mehrara
- Department of Surgery, Plastic and Reconstructive Surgery Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
| | - David Lyden
- Children's Cancer and Blood Foundation Laboratories, Departments of Pediatrics and Cell and Developmental Biology, Weill Cornell Medical College, New York, NY, USA.
| | - Héctor Peinado
- Microenvironment and Metastasis Laboratory, Molecular Oncology Programme, Spanish National Cancer Research Center (CNIO), Madrid, Spain.
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Tian GA, Xu WT, Sun Y, Wang J, Ke Q, Yuan MJ, Wang JJ, Zhuang C, Gong Q. BDNF expression in GISTs predicts poor prognosis when associated with PD-L1 positive tumor-infiltrating lymphocytes. Oncoimmunology 2021; 10:2003956. [PMID: 34804639 PMCID: PMC8604387 DOI: 10.1080/2162402x.2021.2003956] [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] [Indexed: 11/25/2022] Open
Abstract
Substantial evidence indicates that brain-derived neurotrophic factor (BDNF) plays an important role in tumorigenesis, in addition to its primary role in neuronal activity. Gastrointestinal stromal tumors (GISTs), which are the most common mesenchymal neoplasms of the gastrointestinal tract, contain multiple types of tumor-infiltrating lymphocytes (TILs) that express relevant immune checkpoint proteins. However, no data have been reported on the role of BDNF in GISTs. This study aimed to investigate the expression pattern and prognostic value of BDNF in GIST patients with different degrees of risk, as well as the relationship between BDNF expression and immune checkpoints. Immunohistochemistry (IHC) demonstrated that higher BDNF expression was more likely to be present in high-risk patients and suggested a poor prognosis. A similar phenomenon was demonstrated in plasma. Even more interesting was that a positive correlation was present between BDNF and PD-L1+ expression on TILs. Moreover, high BDNF expression levels in combination with a high PD-L1+ TIL count predict extremely poor survival. The combination of BDNF expression and TIL PD-L1+ expression as a single biomarker was a powerful significant independent predictor of prognosis. Taken together, BDNF expression may serve as a significant prognostic factor, as the combination of BDNF expression and the PD-L1+ TIL subset led to superior prediction of GIST prognosis. Furthermore, our research coupled a neurotrophin with immunity, which provides novel evidence of neural and immune regulation in a clinical study of GIST.
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Affiliation(s)
- Guang-Ang Tian
- Clinical Laboratory, Zhongshan Hospital Qingpu Branch, Fudan University, Shanghai, China
| | - Wen-Ting Xu
- Pathology Department, International Peace Maternity and Child Health Hospital of China Welfare Institution, Shanghai, China
| | - Yue Sun
- State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, P.R. China
| | - Jin Wang
- Clinical Laboratory, Zhongshan Hospital Qingpu Branch, Fudan University, Shanghai, China
| | - Qing Ke
- Clinical Laboratory, Zhongshan Hospital Qingpu Branch, Fudan University, Shanghai, China
| | - Meng-Jiao Yuan
- Clinical Laboratory, Zhongshan Hospital Qingpu Branch, Fudan University, Shanghai, China
| | - Jin-Jin Wang
- Clinical Laboratory, Zhongshan Hospital Qingpu Branch, Fudan University, Shanghai, China
| | - Chun Zhuang
- Department of Gastrointestinal Surgery, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, P.R. China
| | - Qian Gong
- Clinical Laboratory, Zhongshan Hospital Qingpu Branch, Fudan University, Shanghai, China
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44
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Cerezo M, Robert C, Liu L, Shen S. The Role of mRNA Translational Control in Tumor Immune Escape and Immunotherapy Resistance. Cancer Res 2021; 81:5596-5604. [PMID: 34470777 DOI: 10.1158/0008-5472.can-21-1466] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Revised: 08/19/2021] [Accepted: 08/31/2021] [Indexed: 02/05/2023]
Abstract
Tremendous advances have been made in cancer immunotherapy over the last decade. Among the different steps of gene expression, translation of mRNA is emerging as an essential player in both cancer and immunity. Changes in mRNA translation are both rapid and adaptive, and translational reprogramming is known to be necessary for sustaining cancer cell proliferation. However, the role of mRNA translation in shaping an immune microenvironment permissive to tumors has not been extensively studied. Recent studies on immunotherapy approaches have indicated critical roles of mRNA translation in regulating the expression of immune checkpoint proteins, tuning the secretion of inflammation-associated factors, modulating the differentiation of immune cells in the tumor microenvironment, and promoting cancer resistance to immunotherapies. Careful consideration of the role of mRNA translation in the tumor-immune ecosystem could suggest more effective therapeutic strategies and may eventually change the current paradigm of cancer immunotherapy. In this review, we discuss recent advances in understanding the relationship between mRNA translation and tumor-associated immunity, the potential mechanisms of immunotherapy resistance in cancers linked to translational reprogramming, and therapeutic perspectives and potential challenges of modulating translational regulation in cancer immunotherapy.
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Affiliation(s)
- Michaël Cerezo
- Université Côte d'Azur, Nice., France.
- Centre Méditerranéen de Médecine Moléculaire (C3M), INSERM, U1065, Equipe 12, Bâtiment ARCHIMED, Nice, France
- Fondation pour la Recherche Médicale (FRM), Paris, France
| | - Caroline Robert
- Dermatology Unit, Gustave Roussy Cancer Campus, Villejuif, France
- INSERM U981- Prédicteurs Moléculaires et Nouvelles Cibles en Oncologie, Gustave Roussy Cancer Campus, Villejuif, France
- Faculté Médicine, Université Paris-Saclay, Kremlin-Bicêtre, France
| | - Lunxu Liu
- Department of Thoracic Surgery, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Shensi Shen
- Department of Thoracic Surgery, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
- Institute of Thoracic Oncology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
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45
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Nguyen MHT, Luo YH, Li AL, Tsai JC, Wu KL, Chung PJ, Ma N. miRNA as a Modulator of Immunotherapy and Immune Response in Melanoma. Biomolecules 2021; 11:1648. [PMID: 34827646 PMCID: PMC8615556 DOI: 10.3390/biom11111648] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 10/30/2021] [Accepted: 11/02/2021] [Indexed: 12/15/2022] Open
Abstract
Immune checkpoint inhibitors are a promising therapy for the treatment of cancers, including melanoma, that improved benefit clinical outcomes. However, a subset of melanoma patients do not respond or acquire resistance to immunotherapy, which limits their clinical applicability. Recent studies have explored the reasons related to the resistance of melanoma to immune checkpoint inhibitors. Of note, miRNAs are the regulators of not only cancer progression but also of the response between cancer cells and immune cells. Investigation of miRNA functions within the tumor microenvironment have suggested that miRNAs could be considered as key partners in immunotherapy. Here, we reviewed the known mechanism by which melanoma induces resistance to immunotherapy and the role of miRNAs in immune responses and the microenvironment.
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Affiliation(s)
- Mai-Huong Thi Nguyen
- Department of Biomedical Sciences and Engineering, National Central University, Taoyuan 320317, Taiwan; (M.-H.T.N.); (A.-L.L.); (K.-L.W.); (P.-J.C.)
| | - Yueh-Hsia Luo
- Department of Life Sciences, National Central University, Taoyuan 320317, Taiwan;
| | - An-Lun Li
- Department of Biomedical Sciences and Engineering, National Central University, Taoyuan 320317, Taiwan; (M.-H.T.N.); (A.-L.L.); (K.-L.W.); (P.-J.C.)
| | - Jen-Chieh Tsai
- Institute of Biotechnology, National Tsing Hua University, Hsinchu 300044, Taiwan;
- Institute of Biotechnology and Pharmaceutical Research, National Health Research Institutes, Miaoli 350401, Taiwan
| | - Kun-Lin Wu
- Department of Biomedical Sciences and Engineering, National Central University, Taoyuan 320317, Taiwan; (M.-H.T.N.); (A.-L.L.); (K.-L.W.); (P.-J.C.)
- Division of Nephrology, Department of Internal Medicine, Taoyuan Armed Forces General Hospital, Taoyuan 325208, Taiwan
| | - Pei-Jung Chung
- Department of Biomedical Sciences and Engineering, National Central University, Taoyuan 320317, Taiwan; (M.-H.T.N.); (A.-L.L.); (K.-L.W.); (P.-J.C.)
| | - Nianhan Ma
- Department of Biomedical Sciences and Engineering, National Central University, Taoyuan 320317, Taiwan; (M.-H.T.N.); (A.-L.L.); (K.-L.W.); (P.-J.C.)
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46
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Liu J, Rebecca VW, Kossenkov AV, Connelly T, Liu Q, Gutierrez A, Xiao M, Li L, Zhang G, Samarkina A, Zayasbazan D, Zhang J, Cheng C, Wei Z, Alicea GM, Fukunaga-Kalabis M, Krepler C, Aza-Blanc P, Yang CC, Delvadia B, Tong C, Huang Y, Delvadia M, Morias AS, Sproesser K, Brafford P, Wang JX, Beqiri M, Somasundaram R, Vultur A, Hristova DM, Wu LW, Lu Y, Mills GB, Xu W, Karakousis GC, Xu X, Schuchter LM, Mitchell TC, Amaravadi RK, Kwong LN, Frederick DT, Boland GM, Salvino JM, Speicher DW, Flaherty KT, Ronai ZA, Herlyn M. Neural Crest-Like Stem Cell Transcriptome Analysis Identifies LPAR1 in Melanoma Progression and Therapy Resistance. Cancer Res 2021; 81:5230-5241. [PMID: 34462276 PMCID: PMC8530965 DOI: 10.1158/0008-5472.can-20-1496] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2020] [Revised: 09/15/2020] [Accepted: 08/26/2021] [Indexed: 02/07/2023]
Abstract
Metastatic melanoma is challenging to clinically address. Although standard-of-care targeted therapy has high response rates in patients with BRAF-mutant melanoma, therapy relapse occurs in most cases. Intrinsically resistant melanoma cells drive therapy resistance and display molecular and biologic properties akin to neural crest-like stem cells (NCLSC) including high invasiveness, plasticity, and self-renewal capacity. The shared transcriptional programs and vulnerabilities between NCLSCs and cancer cells remains poorly understood. Here, we identify a developmental LPAR1-axis critical for NCLSC viability and melanoma cell survival. LPAR1 activity increased during progression and following acquisition of therapeutic resistance. Notably, genetic inhibition of LPAR1 potentiated BRAFi ± MEKi efficacy and ablated melanoma migration and invasion. Our data define LPAR1 as a new therapeutic target in melanoma and highlights the promise of dissecting stem cell-like pathways hijacked by tumor cells. SIGNIFICANCE: This study identifies an LPAR1-axis critical for melanoma invasion and intrinsic/acquired therapy resistance.
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Affiliation(s)
- Jianglan Liu
- Molecular and Cellular Oncogenesis Program and Melanoma Research Center, The Wistar Institute, Philadelphia, Pennsylvania
| | - Vito W Rebecca
- Molecular and Cellular Oncogenesis Program and Melanoma Research Center, The Wistar Institute, Philadelphia, Pennsylvania.,Department of Biochemistry and Molecular Biology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Andrew V Kossenkov
- Molecular and Cellular Oncogenesis Program and Melanoma Research Center, The Wistar Institute, Philadelphia, Pennsylvania
| | - Thomas Connelly
- Molecular and Cellular Oncogenesis Program and Melanoma Research Center, The Wistar Institute, Philadelphia, Pennsylvania
| | - Qin Liu
- Molecular and Cellular Oncogenesis Program and Melanoma Research Center, The Wistar Institute, Philadelphia, Pennsylvania
| | - Alexis Gutierrez
- Molecular and Cellular Oncogenesis Program and Melanoma Research Center, The Wistar Institute, Philadelphia, Pennsylvania
| | - Min Xiao
- Molecular and Cellular Oncogenesis Program and Melanoma Research Center, The Wistar Institute, Philadelphia, Pennsylvania
| | - Ling Li
- Molecular and Cellular Oncogenesis Program and Melanoma Research Center, The Wistar Institute, Philadelphia, Pennsylvania
| | - Gao Zhang
- Molecular and Cellular Oncogenesis Program and Melanoma Research Center, The Wistar Institute, Philadelphia, Pennsylvania
| | - Anastasia Samarkina
- Molecular and Cellular Oncogenesis Program and Melanoma Research Center, The Wistar Institute, Philadelphia, Pennsylvania
| | - Delaine Zayasbazan
- Molecular and Cellular Oncogenesis Program and Melanoma Research Center, The Wistar Institute, Philadelphia, Pennsylvania
| | - Jie Zhang
- Department of Computer Science, New Jersey Institute of Technology, Newark, New Jersey
| | - Chaoran Cheng
- Department of Computer Science, New Jersey Institute of Technology, Newark, New Jersey
| | - Zhi Wei
- Department of Computer Science, New Jersey Institute of Technology, Newark, New Jersey
| | - Gretchen M Alicea
- Molecular and Cellular Oncogenesis Program and Melanoma Research Center, The Wistar Institute, Philadelphia, Pennsylvania
| | - Mizuho Fukunaga-Kalabis
- Molecular and Cellular Oncogenesis Program and Melanoma Research Center, The Wistar Institute, Philadelphia, Pennsylvania
| | - Clemens Krepler
- Molecular and Cellular Oncogenesis Program and Melanoma Research Center, The Wistar Institute, Philadelphia, Pennsylvania
| | - Pedro Aza-Blanc
- Tumor Initiation and Maintenance Program, Cancer Center, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, California
| | - Chih-Cheng Yang
- Tumor Initiation and Maintenance Program, Cancer Center, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, California
| | - Bela Delvadia
- Molecular and Cellular Oncogenesis Program and Melanoma Research Center, The Wistar Institute, Philadelphia, Pennsylvania
| | - Cynthia Tong
- Molecular and Cellular Oncogenesis Program and Melanoma Research Center, The Wistar Institute, Philadelphia, Pennsylvania
| | - Ye Huang
- Molecular and Cellular Oncogenesis Program and Melanoma Research Center, The Wistar Institute, Philadelphia, Pennsylvania
| | - Maya Delvadia
- Molecular and Cellular Oncogenesis Program and Melanoma Research Center, The Wistar Institute, Philadelphia, Pennsylvania
| | - Alice S Morias
- Molecular and Cellular Oncogenesis Program and Melanoma Research Center, The Wistar Institute, Philadelphia, Pennsylvania
| | - Katrin Sproesser
- Molecular and Cellular Oncogenesis Program and Melanoma Research Center, The Wistar Institute, Philadelphia, Pennsylvania
| | - Patricia Brafford
- Molecular and Cellular Oncogenesis Program and Melanoma Research Center, The Wistar Institute, Philadelphia, Pennsylvania
| | - Joshua X Wang
- Molecular and Cellular Oncogenesis Program and Melanoma Research Center, The Wistar Institute, Philadelphia, Pennsylvania
| | - Marilda Beqiri
- Molecular and Cellular Oncogenesis Program and Melanoma Research Center, The Wistar Institute, Philadelphia, Pennsylvania
| | - Rajasekharan Somasundaram
- Molecular and Cellular Oncogenesis Program and Melanoma Research Center, The Wistar Institute, Philadelphia, Pennsylvania
| | - Adina Vultur
- Molecular and Cellular Oncogenesis Program and Melanoma Research Center, The Wistar Institute, Philadelphia, Pennsylvania
| | - Denitsa M Hristova
- Molecular and Cellular Oncogenesis Program and Melanoma Research Center, The Wistar Institute, Philadelphia, Pennsylvania
| | - Lawrence W Wu
- Molecular and Cellular Oncogenesis Program and Melanoma Research Center, The Wistar Institute, Philadelphia, Pennsylvania
| | - Yiling Lu
- Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Gordon B Mills
- Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Wei Xu
- Abramson Cancer Center, Department of Medicine, Hospital of the University of Pennsylvania, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Giorgos C Karakousis
- Department of Surgery, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Xiaowei Xu
- Department of Pathology and Laboratory Medicine, Hospital of University of Pennsylvania, Philadelphia, Pennsylvania
| | - Lynn M Schuchter
- Abramson Cancer Center, Department of Medicine, Hospital of the University of Pennsylvania, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Tara C Mitchell
- Abramson Cancer Center, Department of Medicine, Hospital of the University of Pennsylvania, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Ravi K Amaravadi
- Abramson Cancer Center, Department of Medicine, Hospital of the University of Pennsylvania, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Lawrence N Kwong
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Dennie T Frederick
- Division of Surgical Oncology, Massachusetts General Hospital Cancer Center, Boston, Massachusetts
| | - Genevieve M Boland
- Division of Surgical Oncology, Massachusetts General Hospital Cancer Center, Boston, Massachusetts
| | - Joseph M Salvino
- Molecular and Cellular Oncogenesis Program and Melanoma Research Center, The Wistar Institute, Philadelphia, Pennsylvania
| | - David W Speicher
- Molecular and Cellular Oncogenesis Program and Melanoma Research Center, The Wistar Institute, Philadelphia, Pennsylvania
| | - Keith T Flaherty
- Department of Medicine, Harvard Medical School, Boston, Massachusetts.,Division of Medical Oncology, Massachusetts General Hospital Cancer Center, Boston, Massachusetts
| | - Ze'ev A Ronai
- Tumor Initiation and Maintenance Program, Cancer Center, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, California
| | - Meenhard Herlyn
- Molecular and Cellular Oncogenesis Program and Melanoma Research Center, The Wistar Institute, Philadelphia, Pennsylvania.
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47
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Huang F, Santinon F, Flores González RE, del Rincón SV. Melanoma Plasticity: Promoter of Metastasis and Resistance to Therapy. Front Oncol 2021; 11:756001. [PMID: 34604096 PMCID: PMC8481945 DOI: 10.3389/fonc.2021.756001] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Accepted: 08/30/2021] [Indexed: 12/14/2022] Open
Abstract
Melanoma is the deadliest form of skin cancer. Although targeted therapies and immunotherapies have revolutionized the treatment of metastatic melanoma, most patients are not cured. Therapy resistance remains a significant clinical challenge. Melanoma comprises phenotypically distinct subpopulations of cells, exhibiting distinct gene signatures leading to tumor heterogeneity and favoring therapeutic resistance. Cellular plasticity in melanoma is referred to as phenotype switching. Regardless of their genomic classification, melanomas switch from a proliferative and differentiated phenotype to an invasive, dedifferentiated and often therapy-resistant state. In this review we discuss potential mechanisms underpinning melanoma phenotype switching, how this cellular plasticity contributes to resistance to both targeted therapies and immunotherapies. Finally, we highlight novel strategies to target plasticity and their potential clinical impact in melanoma.
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Affiliation(s)
- Fan Huang
- Lady Davis Institute, McGill University, Montréal, QC, Canada
- Department of Experimental Medicine, McGill University, Montréal, QC, Canada
| | - François Santinon
- Lady Davis Institute, McGill University, Montréal, QC, Canada
- Department of Experimental Medicine, McGill University, Montréal, QC, Canada
| | - Raúl Ernesto Flores González
- Lady Davis Institute, McGill University, Montréal, QC, Canada
- Department of Experimental Medicine, McGill University, Montréal, QC, Canada
| | - Sonia V. del Rincón
- Lady Davis Institute, McGill University, Montréal, QC, Canada
- Department of Experimental Medicine, McGill University, Montréal, QC, Canada
- Department of Oncology, McGill University, Montréal, QC, Canada
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48
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Vendramin R, Katopodi V, Cinque S, Konnova A, Knezevic Z, Adnane S, Verheyden Y, Karras P, Demesmaeker E, Bosisio FM, Kucera L, Rozman J, Gladwyn-Ng I, Rizzotto L, Dassi E, Millevoi S, Bechter O, Marine JC, Leucci E. Activation of the integrated stress response confers vulnerability to mitoribosome-targeting antibiotics in melanoma. J Exp Med 2021; 218:e20210571. [PMID: 34287642 PMCID: PMC8424468 DOI: 10.1084/jem.20210571] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Revised: 05/10/2021] [Accepted: 06/16/2021] [Indexed: 12/15/2022] Open
Abstract
The ability to adapt to environmental stress, including therapeutic insult, contributes to tumor evolution and drug resistance. In suboptimal conditions, the integrated stress response (ISR) promotes survival by dampening cytosolic translation. We show that ISR-dependent survival also relies on a concomitant up-regulation of mitochondrial protein synthesis, a vulnerability that can be exploited using mitoribosome-targeting antibiotics. Accordingly, such agents sensitized to MAPK inhibition, thus preventing the development of resistance in BRAFV600E melanoma models. Additionally, this treatment compromised the growth of melanomas that exhibited elevated ISR activity and resistance to both immunotherapy and targeted therapy. In keeping with this, pharmacological inactivation of ISR, or silencing of ATF4, rescued the antitumoral response to the tetracyclines. Moreover, a melanoma patient exposed to doxycycline experienced complete and long-lasting response of a treatment-resistant lesion. Our study indicates that the repurposing of mitoribosome-targeting antibiotics offers a rational salvage strategy for targeted therapy in BRAF mutant melanoma and a therapeutic option for NRAS-driven and immunotherapy-resistant tumors.
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Affiliation(s)
- Roberto Vendramin
- Laboratory for RNA Cancer Biology, Department of Oncology, Katholieke Universiteit Leuven, Leuven, Belgium
| | - Vicky Katopodi
- Laboratory for RNA Cancer Biology, Department of Oncology, Katholieke Universiteit Leuven, Leuven, Belgium
| | - Sonia Cinque
- Laboratory for RNA Cancer Biology, Department of Oncology, Katholieke Universiteit Leuven, Leuven, Belgium
| | - Angelina Konnova
- Laboratory for RNA Cancer Biology, Department of Oncology, Katholieke Universiteit Leuven, Leuven, Belgium
| | - Zorica Knezevic
- Laboratory for RNA Cancer Biology, Department of Oncology, Katholieke Universiteit Leuven, Leuven, Belgium
| | - Sara Adnane
- Laboratory for RNA Cancer Biology, Department of Oncology, Katholieke Universiteit Leuven, Leuven, Belgium
| | - Yvessa Verheyden
- Laboratory for RNA Cancer Biology, Department of Oncology, Katholieke Universiteit Leuven, Leuven, Belgium
| | - Panagiotis Karras
- Laboratory for Molecular Cancer Biology, Center for Cancer Biology, Vlaams Instituut voor Biotechnologie, Leuven, Belgium
- Department of Oncology, Laboratory for Molecular Cancer Biology, Katholieke Universiteit Leuven, Belgium
| | - Ewout Demesmaeker
- Laboratory for RNA Cancer Biology, Department of Oncology, Katholieke Universiteit Leuven, Leuven, Belgium
| | | | - Lukas Kucera
- Czech Centre for Phenogenomics, Institute of Molecular Genetics of the Czech Academy of Sciences, Vestec, Czech Republic
| | - Jan Rozman
- Czech Centre for Phenogenomics, Institute of Molecular Genetics of the Czech Academy of Sciences, Vestec, Czech Republic
| | | | - Lara Rizzotto
- Trace, Leuven Cancer Institute, Katholieke Universiteit Leuven, Belgium
| | - Erik Dassi
- Laboratory of RNA Regulatory Networks, Department of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy
| | - Stefania Millevoi
- Cancer Research Centre of Toulouse, Institut national de la santé et de la recherche médicale Joint Research Unit 1037, Toulouse, France
- Université Toulouse III Paul Sabatier, Toulouse, France
- Laboratoire d’Excellence “TOUCAN,” Toulouse, France
| | - Oliver Bechter
- Department of General Medical Oncology, Leuven Cancer Institute, Universitair Ziekenhuis Leuven, Leuven, Belgium
| | - Jean-Christophe Marine
- Laboratory for Molecular Cancer Biology, Center for Cancer Biology, Vlaams Instituut voor Biotechnologie, Leuven, Belgium
- Department of Oncology, Laboratory for Molecular Cancer Biology, Katholieke Universiteit Leuven, Belgium
| | - Eleonora Leucci
- Laboratory for RNA Cancer Biology, Department of Oncology, Katholieke Universiteit Leuven, Leuven, Belgium
- Trace, Leuven Cancer Institute, Katholieke Universiteit Leuven, Belgium
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49
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Diener J, Baggiolini A, Pernebrink M, Dalcher D, Lerra L, Cheng PF, Varum S, Häusel J, Stierli S, Treier M, Studer L, Basler K, Levesque MP, Dummer R, Santoro R, Cantù C, Sommer L. Epigenetic control of melanoma cell invasiveness by the stem cell factor SALL4. Nat Commun 2021; 12:5056. [PMID: 34417458 PMCID: PMC8379183 DOI: 10.1038/s41467-021-25326-8] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Accepted: 08/03/2021] [Indexed: 02/06/2023] Open
Abstract
Melanoma cells rely on developmental programs during tumor initiation and progression. Here we show that the embryonic stem cell (ESC) factor Sall4 is re-expressed in the Tyr::NrasQ61K; Cdkn2a-/- melanoma model and that its expression is necessary for primary melanoma formation. Surprisingly, while Sall4 loss prevents tumor formation, it promotes micrometastases to distant organs in this melanoma-prone mouse model. Transcriptional profiling and in vitro assays using human melanoma cells demonstrate that SALL4 loss induces a phenotype switch and the acquisition of an invasive phenotype. We show that SALL4 negatively regulates invasiveness through interaction with the histone deacetylase (HDAC) 2 and direct co-binding to a set of invasiveness genes. Consequently, SALL4 knock down, as well as HDAC inhibition, promote the expression of an invasive signature, while inhibition of histone acetylation partially reverts the invasiveness program induced by SALL4 loss. Thus, SALL4 appears to regulate phenotype switching in melanoma through an HDAC2-mediated mechanism.
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Affiliation(s)
- Johanna Diener
- University of Zürich, Institute of Anatomy, Zürich, Switzerland
| | - Arianna Baggiolini
- University of Zürich, Institute of Anatomy, Zürich, Switzerland
- Developmental Biology, The Center for Stem Cell Biology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Mattias Pernebrink
- Wallenberg Centre for Molecular Medicine, Linköping University, Linköping, Sweden
- Department of Biomedical and Clinical Sciences, Division of Molecular Medicine and Virology; Faculty of Medicine and Health Sciences, Linköping University, Linköping, Sweden
| | - Damian Dalcher
- University of Zürich, Department of Molecular Mechanisms of Disease, Zürich, Switzerland
| | - Luigi Lerra
- University of Zürich, Department of Molecular Mechanisms of Disease, Zürich, Switzerland
| | - Phil F Cheng
- University Hospital of Zürich, Department of Dermatology, Zürich, Switzerland
| | - Sandra Varum
- University of Zürich, Institute of Anatomy, Zürich, Switzerland
| | - Jessica Häusel
- University of Zürich, Institute of Anatomy, Zürich, Switzerland
| | - Salome Stierli
- University of Zürich, Institute of Anatomy, Zürich, Switzerland
| | - Mathias Treier
- Max-Delbrück-Center for Molecular Medicine, Berlin, Germany
- Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Lorenz Studer
- Developmental Biology, The Center for Stem Cell Biology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Konrad Basler
- University of Zürich, Institute of Molecular Life Sciences, Zürich, Switzerland
| | - Mitchell P Levesque
- University Hospital of Zürich, Department of Dermatology, Zürich, Switzerland
| | - Reinhard Dummer
- University Hospital of Zürich, Department of Dermatology, Zürich, Switzerland
| | - Raffaella Santoro
- University of Zürich, Department of Molecular Mechanisms of Disease, Zürich, Switzerland
| | - Claudio Cantù
- Wallenberg Centre for Molecular Medicine, Linköping University, Linköping, Sweden
- Department of Biomedical and Clinical Sciences, Division of Molecular Medicine and Virology; Faculty of Medicine and Health Sciences, Linköping University, Linköping, Sweden
- University of Zürich, Institute of Molecular Life Sciences, Zürich, Switzerland
| | - Lukas Sommer
- University of Zürich, Institute of Anatomy, Zürich, Switzerland.
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50
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Marin-Bejar O, Rogiers A, Dewaele M, Femel J, Karras P, Pozniak J, Bervoets G, Van Raemdonck N, Pedri D, Swings T, Demeulemeester J, Borght SV, Lehnert S, Bosisio F, van den Oord JJ, Bempt IV, Lambrechts D, Voet T, Bechter O, Rizos H, Levesque MP, Leucci E, Lund AW, Rambow F, Marine JC. Evolutionary predictability of genetic versus nongenetic resistance to anticancer drugs in melanoma. Cancer Cell 2021; 39:1135-1149.e8. [PMID: 34143978 DOI: 10.1016/j.ccell.2021.05.015] [Citation(s) in RCA: 65] [Impact Index Per Article: 21.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2020] [Revised: 02/17/2021] [Accepted: 05/20/2021] [Indexed: 12/13/2022]
Abstract
Therapy resistance arises from heterogeneous drug-tolerant persister cells or minimal residual disease (MRD) through genetic and nongenetic mechanisms. A key question is whether specific molecular features of the MRD ecosystem determine which of these two distinct trajectories will eventually prevail. We show that, in melanoma exposed to mitogen-activated protein kinase therapeutics, emergence of a transient neural crest stem cell (NCSC) population in MRD concurs with the development of nongenetic resistance. This increase relies on a glial cell line-derived neurotrophic factor-dependent signaling cascade, which activates the AKT survival pathway in a focal adhesion kinase (FAK)-dependent manner. Ablation of the NCSC population through FAK inhibition delays relapse in patient-derived tumor xenografts. Strikingly, all tumors that ultimately escape this treatment exhibit resistance-conferring genetic alterations and increased sensitivity to extracellular signal-regulated kinase inhibition. These findings identify an approach that abrogates the nongenetic resistance trajectory in melanoma and demonstrate that the cellular composition of MRD deterministically imposes distinct drug resistance evolutionary paths.
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Affiliation(s)
- Oskar Marin-Bejar
- Laboratory for Molecular Cancer Biology, Center for Cancer Biology, VIB, Leuven, Belgium; Laboratory for Molecular Cancer Biology, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Aljosja Rogiers
- Laboratory for Molecular Cancer Biology, Center for Cancer Biology, VIB, Leuven, Belgium; Laboratory for Molecular Cancer Biology, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Michael Dewaele
- Laboratory for Molecular Cancer Biology, Center for Cancer Biology, VIB, Leuven, Belgium; Laboratory for Molecular Cancer Biology, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Julia Femel
- Ronald O. Perelman Department of Dermatology and Department of Pathology, NYU Grossman School of Medicine, New York, NY, USA
| | - Panagiotis Karras
- Laboratory for Molecular Cancer Biology, Center for Cancer Biology, VIB, Leuven, Belgium; Laboratory for Molecular Cancer Biology, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Joanna Pozniak
- Laboratory for Molecular Cancer Biology, Center for Cancer Biology, VIB, Leuven, Belgium; Laboratory for Molecular Cancer Biology, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Greet Bervoets
- Laboratory for Molecular Cancer Biology, Center for Cancer Biology, VIB, Leuven, Belgium; Laboratory for Molecular Cancer Biology, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Nina Van Raemdonck
- Laboratory for Molecular Cancer Biology, Center for Cancer Biology, VIB, Leuven, Belgium; Laboratory for Molecular Cancer Biology, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Dennis Pedri
- Laboratory for Molecular Cancer Biology, Center for Cancer Biology, VIB, Leuven, Belgium; Laboratory for Molecular Cancer Biology, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Toon Swings
- VIB Technology Watch, Technology Innovation Lab, VIB, Leuven, Belgium
| | - Jonas Demeulemeester
- Laboratory of Reproductive Genomics, Department of Human Genetics, KU Leuven, Leuven, Belgium; Cancer Genomic Laboratory, The Francis Crick Institute, London, UK
| | | | | | - Francesca Bosisio
- Laboratory of Translational Cell and Tissue Research, Department of Pathology, KU Leuven and UZ Leuven, Leuven, Belgium
| | - Joost J van den Oord
- Laboratory of Translational Cell and Tissue Research, Department of Pathology, KU Leuven and UZ Leuven, Leuven, Belgium
| | | | - Diether Lambrechts
- Laboratory of Translational Genetics, Center for Cancer Biology, VIB, Leuven, Belgium; Laboratory of Translational Genetics, Center for Human Genetics, KU Leuven, 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
| | - Oliver Bechter
- Department of General Medical Oncology UZ Leuven, Belgium
| | - Helen Rizos
- Macquarie University, Sydney, NSW, Australia; Melanoma Institute Australia, Sydney, NSW, Australia
| | - Mitchell P Levesque
- Department of Dermatology, University of Zürich Hospital, University of Zürich, Zürich, Switzerland
| | - Eleonora Leucci
- Laboratory for RNA Cancer Biology, Department of Oncology, LKI, KU Leuven, Leuven, Belgium; Trace PDX Platform, Department of Oncology, LKI, KU Leuven, Leuven, Belgium
| | - Amanda W Lund
- Ronald O. Perelman Department of Dermatology and Department of Pathology, NYU Grossman School of Medicine, New York, NY, USA
| | - Florian Rambow
- Laboratory for Molecular Cancer Biology, Center for Cancer Biology, VIB, Leuven, Belgium; Laboratory for Molecular Cancer Biology, Department of Oncology, KU Leuven, Leuven, Belgium.
| | - Jean-Christophe Marine
- Laboratory for Molecular Cancer Biology, Center for Cancer Biology, VIB, Leuven, Belgium; Laboratory for Molecular Cancer Biology, Department of Oncology, KU Leuven, Leuven, Belgium.
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