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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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Nourbakhsh M, Degn K, Saksager A, Tiberti M, Papaleo E. Prediction of cancer driver genes and mutations: the potential of integrative computational frameworks. Brief Bioinform 2024; 25:bbad519. [PMID: 38261338 PMCID: PMC10805075 DOI: 10.1093/bib/bbad519] [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: 06/09/2023] [Revised: 11/27/2023] [Accepted: 12/11/2023] [Indexed: 01/24/2024] Open
Abstract
The vast amount of available sequencing data allows the scientific community to explore different genetic alterations that may drive cancer or favor cancer progression. Software developers have proposed a myriad of predictive tools, allowing researchers and clinicians to compare and prioritize driver genes and mutations and their relative pathogenicity. However, there is little consensus on the computational approach or a golden standard for comparison. Hence, benchmarking the different tools depends highly on the input data, indicating that overfitting is still a massive problem. One of the solutions is to limit the scope and usage of specific tools. However, such limitations force researchers to walk on a tightrope between creating and using high-quality tools for a specific purpose and describing the complex alterations driving cancer. While the knowledge of cancer development increases daily, many bioinformatic pipelines rely on single nucleotide variants or alterations in a vacuum without accounting for cellular compartments, mutational burden or disease progression. Even within bioinformatics and computational cancer biology, the research fields work in silos, risking overlooking potential synergies or breakthroughs. Here, we provide an overview of databases and datasets for building or testing predictive cancer driver tools. Furthermore, we introduce predictive tools for driver genes, driver mutations, and the impact of these based on structural analysis. Additionally, we suggest and recommend directions in the field to avoid silo-research, moving towards integrative frameworks.
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Affiliation(s)
- Mona Nourbakhsh
- Cancer Systems Biology, Section for Bioinformatics, Department of Health Technology, Technical University of Denmark, 2800 Lyngby, Denmark
| | - Kristine Degn
- Cancer Systems Biology, Section for Bioinformatics, Department of Health Technology, Technical University of Denmark, 2800 Lyngby, Denmark
| | - Astrid Saksager
- Cancer Systems Biology, Section for Bioinformatics, Department of Health Technology, Technical University of Denmark, 2800 Lyngby, Denmark
| | - Matteo Tiberti
- Cancer Structural Biology, Danish Cancer Institute, 2100 Copenhagen, Denmark
| | - Elena Papaleo
- Cancer Systems Biology, Section for Bioinformatics, Department of Health Technology, Technical University of Denmark, 2800 Lyngby, Denmark
- Cancer Structural Biology, Danish Cancer Institute, 2100 Copenhagen, Denmark
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3
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Liu M, Wang Y, Teng F, Mai X, Wang X, Su MY, Stjepanovic G. Structure of the DDB1-AMBRA1 E3 ligase receptor complex linked to cell cycle regulation. Nat Commun 2023; 14:7631. [PMID: 37993427 PMCID: PMC10665379 DOI: 10.1038/s41467-023-43174-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2022] [Accepted: 11/02/2023] [Indexed: 11/24/2023] Open
Abstract
AMBRA1 is a tumor suppressor protein that functions as a substrate receptor of the ubiquitin conjugation system with roles in autophagy and the cell cycle regulatory network. The intrinsic disorder of AMBRA1 has thus far precluded its structural determination. To solve this problem, we analyzed the dynamics of AMBRA1 using hydrogen deuterium exchange mass spectrometry (HDX-MS). The HDX results indicated that AMBRA1 is a highly flexible protein and can be stabilized upon interaction with DDB1, the adaptor of the Cullin4A/B E3 ligase. Here, we present the cryo-EM structure of AMBRA1 in complex with DDB1 at 3.08 Å resolution. The structure shows that parts of the N- and C-terminal structural regions in AMBRA1 fold together into the highly dynamic WD40 domain and reveals how DDB1 engages with AMBRA1 to create a binding scaffold for substrate recruitment. The N-terminal helix-loop-helix motif and WD40 domain of AMBRA1 associate with the double-propeller fold of DDB1. We also demonstrate that DDB1 binding-defective AMBRA1 mutants prevent ubiquitination of the substrate Cyclin D1 in vitro and increase cell cycle progression. Together, these results provide structural insights into the AMBRA1-ubiquitin ligase complex and suggest a mechanism by which AMBRA1 acts as a hub involved in various physiological processes.
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Affiliation(s)
- Ming Liu
- Kobilka Institute of Innovative Drug Discovery, School of Medicine, The Chinese University of Hong Kong, Shenzhen, Shenzhen, 518172, China
| | - Yang Wang
- Kobilka Institute of Innovative Drug Discovery, School of Medicine, The Chinese University of Hong Kong, Shenzhen, Shenzhen, 518172, China
| | - Fei Teng
- Kobilka Institute of Innovative Drug Discovery, School of Medicine, The Chinese University of Hong Kong, Shenzhen, Shenzhen, 518172, China
- Department of Biochemistry, School of Medicine, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Xinyi Mai
- Kobilka Institute of Innovative Drug Discovery, School of Medicine, The Chinese University of Hong Kong, Shenzhen, Shenzhen, 518172, China
| | - Xi Wang
- Kobilka Institute of Innovative Drug Discovery, School of Medicine, The Chinese University of Hong Kong, Shenzhen, Shenzhen, 518172, China
| | - Ming-Yuan Su
- Department of Biochemistry, School of Medicine, Southern University of Science and Technology, Shenzhen, 518055, China.
- Key University Laboratory of Metabolism and Health of Guangdong, Southern University of Science and Technology, Shenzhen, 518055, China.
- Institute for Biological Electron Microscopy, Southern University of Science and Technology, Shenzhen, 518055, China.
| | - Goran Stjepanovic
- Kobilka Institute of Innovative Drug Discovery, School of Medicine, The Chinese University of Hong Kong, Shenzhen, Shenzhen, 518172, China.
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Maselli F, D’Antona S, Utichi M, Arnaudi M, Castiglioni I, Porro D, Papaleo E, Gandellini P, Cava C. Computational analysis of five neurodegenerative diseases reveals shared and specific genetic loci. Comput Struct Biotechnol J 2023; 21:5395-5407. [PMID: 38022694 PMCID: PMC10651457 DOI: 10.1016/j.csbj.2023.10.031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Revised: 10/09/2023] [Accepted: 10/16/2023] [Indexed: 12/01/2023] Open
Abstract
Neurodegenerative diseases (ND) are heterogeneous disorders of the central nervous system that share a chronic and selective process of neuronal cell death. A computational approach to investigate shared genetic and specific loci was applied to 5 different ND: Amyotrophic lateral sclerosis (ALS), Alzheimer's disease (AD), Parkinson's disease (PD), Multiple sclerosis (MS), and Lewy body dementia (LBD). The datasets were analyzed separately, and then we compared the obtained results. For this purpose, we applied a genetic correlation analysis to genome-wide association datasets and revealed different genetic correlations with several human traits and diseases. In addition, a clumping analysis was carried out to identify SNPs genetically associated with each disease. We found 27 SNPs in AD, 6 SNPs in ALS, 10 SNPs in PD, 17 SNPs in MS, and 3 SNPs in LBD. Most of them are located in non-coding regions, with the exception of 5 SNPs on which a protein structure and stability prediction was performed to verify their impact on disease. Furthermore, an analysis of the differentially expressed miRNAs of the 5 examined pathologies was performed to reveal regulatory mechanisms that could involve genes associated with selected SNPs. In conclusion, the results obtained constitute an important step toward the discovery of diagnostic biomarkers and a better understanding of the diseases.
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Affiliation(s)
- Francesca Maselli
- Institute of Bioimaging and Molecular Physiology, National Research Council, Milan, Italy
- Department of Biosciences, University of Milan, Milan, Italy
| | - Salvatore D’Antona
- Institute of Bioimaging and Molecular Physiology, National Research Council, Milan, Italy
| | - Mattia Utichi
- Cancer Systems Biology, Section for Bioinformatics, Department of Health and Technology, Lyngby, Technical University of Denmark
- Cancer Structural Biology, Danish Cancer Institute, Copenhagen, Denmark
| | - Matteo Arnaudi
- Cancer Systems Biology, Section for Bioinformatics, Department of Health and Technology, Lyngby, Technical University of Denmark
- Cancer Structural Biology, Danish Cancer Institute, Copenhagen, Denmark
| | - Isabella Castiglioni
- Department of Physics ‘‘Giuseppe Occhialini”, University of Milan, Bicocca, Italy
| | - Danilo Porro
- Institute of Bioimaging and Molecular Physiology, National Research Council, Milan, Italy
| | - Elena Papaleo
- Cancer Systems Biology, Section for Bioinformatics, Department of Health and Technology, Lyngby, Technical University of Denmark
- Cancer Structural Biology, Danish Cancer Institute, Copenhagen, Denmark
| | | | - Claudia Cava
- Institute of Bioimaging and Molecular Physiology, National Research Council, Milan, Italy
- Department of Science, Technology and Society, University School for Advanced Studies IUSS Pavia, Italy
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5
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Papaleo E, Tiberti M, Arnaudi M, Pecorari C, Faienza F, Cantwell L, Degn K, Pacello F, Battistoni A, Lambrughi M, Filomeni G. TRAP1 S-nitrosylation as a model of population-shift mechanism to study the effects of nitric oxide on redox-sensitive oncoproteins. Cell Death Dis 2023; 14:284. [PMID: 37085483 PMCID: PMC10121659 DOI: 10.1038/s41419-023-05780-6] [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: 12/11/2022] [Revised: 03/13/2023] [Accepted: 03/27/2023] [Indexed: 04/23/2023]
Abstract
S-nitrosylation is a post-translational modification in which nitric oxide (NO) binds to the thiol group of cysteine, generating an S-nitrosothiol (SNO) adduct. S-nitrosylation has different physiological roles, and its alteration has also been linked to a growing list of pathologies, including cancer. SNO can affect the function and stability of different proteins, such as the mitochondrial chaperone TRAP1. Interestingly, the SNO site (C501) of TRAP1 is in the proximity of another cysteine (C527). This feature suggests that the S-nitrosylated C501 could engage in a disulfide bridge with C527 in TRAP1, resembling the well-known ability of S-nitrosylated cysteines to resolve in disulfide bridge with vicinal cysteines. We used enhanced sampling simulations and in-vitro biochemical assays to address the structural mechanisms induced by TRAP1 S-nitrosylation. We showed that the SNO site induces conformational changes in the proximal cysteine and favors conformations suitable for disulfide bridge formation. We explored 4172 known S-nitrosylated proteins using high-throughput structural analyses. Furthermore, we used a coarse-grained model for 44 protein targets to account for protein flexibility. This resulted in the identification of up to 1248 proximal cysteines, which could sense the redox state of the SNO site, opening new perspectives on the biological effects of redox switches. In addition, we devised two bioinformatic workflows ( https://github.com/ELELAB/SNO_investigation_pipelines ) to identify proximal or vicinal cysteines for a SNO site with accompanying structural annotations. Finally, we analyzed mutations in tumor suppressors or oncogenes in connection with the conformational switch induced by S-nitrosylation. We classified the variants as neutral, stabilizing, or destabilizing for the propensity to be S-nitrosylated and undergo the population-shift mechanism. The methods applied here provide a comprehensive toolkit for future high-throughput studies of new protein candidates, variant classification, and a rich data source for the research community in the NO field.
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Affiliation(s)
- Elena Papaleo
- Cancer Structural Biology, Danish Cancer Society Research Center, 2100, Copenhagen, Denmark.
- Cancer Systems Biology, Section for Bioinformatics, Department of Health and Technology, Technical University of Denmark, 2800, Lyngby, Denmark.
| | - Matteo Tiberti
- Cancer Structural Biology, Danish Cancer Society Research Center, 2100, Copenhagen, Denmark
| | - Matteo Arnaudi
- Cancer Structural Biology, Danish Cancer Society Research Center, 2100, Copenhagen, Denmark
- Cancer Systems Biology, Section for Bioinformatics, Department of Health and Technology, Technical University of Denmark, 2800, Lyngby, Denmark
| | - Chiara Pecorari
- Redox Biology, Danish Cancer Society Research Center, 2100, Copenhagen, Denmark
| | - Fiorella Faienza
- Department of Biology, University of Rome Tor Vergata, 00133, Rome, Italy
| | - Lisa Cantwell
- Cancer Structural Biology, Danish Cancer Society Research Center, 2100, Copenhagen, Denmark
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Kristine Degn
- Cancer Systems Biology, Section for Bioinformatics, Department of Health and Technology, Technical University of Denmark, 2800, Lyngby, Denmark
| | - Francesca Pacello
- Department of Biology, University of Rome Tor Vergata, 00133, Rome, Italy
| | - Andrea Battistoni
- Department of Biology, University of Rome Tor Vergata, 00133, Rome, Italy
| | - Matteo Lambrughi
- Cancer Structural Biology, Danish Cancer Society Research Center, 2100, Copenhagen, Denmark
| | - Giuseppe Filomeni
- Redox Biology, Danish Cancer Society Research Center, 2100, Copenhagen, Denmark
- Department of Biology, University of Rome Tor Vergata, 00133, Rome, Italy
- Center for Healthy Aging, Copenhagen University, 2200, Copenhagen, Denmark
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Frias A, Di Leo L, Antoranz A, Nazerai L, Carretta M, Bodemeyer V, Pagliuca C, Dahl C, Claps G, Mandelli GE, Andhari MD, Pacheco MP, Sauter T, Robert C, Guldberg P, Madsen DH, Cecconi F, Bosisio FM, De Zio D. Ambra1 modulates the tumor immune microenvironment and response to PD-1 blockade in melanoma. J Immunother Cancer 2023; 11:jitc-2022-006389. [PMID: 36868570 PMCID: PMC9990656 DOI: 10.1136/jitc-2022-006389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/21/2023] [Indexed: 03/05/2023] Open
Abstract
BACKGROUND Loss of Ambra1 (autophagy and beclin 1 regulator 1), a multifunctional scaffold protein, promotes the formation of nevi and contributes to several phases of melanoma development. The suppressive functions of Ambra1 in melanoma are mediated by negative regulation of cell proliferation and invasion; however, evidence suggests that loss of Ambra1 may also affect the melanoma microenvironment. Here, we investigate the possible impact of Ambra1 on antitumor immunity and response to immunotherapy. METHODS This study was performed using an Ambra1-depleted BrafV600E /Pten-/ - genetically engineered mouse (GEM) model of melanoma, as well as GEM-derived allografts of BrafV600E /Pten-/ - and BrafV600E /Pten-/ -/Cdkn2a-/ - tumors with Ambra1 knockdown. The effects of Ambra1 loss on the tumor immune microenvironment (TIME) were analyzed using NanoString technology, multiplex immunohistochemistry, and flow cytometry. Transcriptome and CIBERSORT digital cytometry analyses of murine melanoma samples and human melanoma patients (The Cancer Genome Atlas) were applied to determine the immune cell populations in null or low-expressing AMBRA1 melanoma. The contribution of Ambra1 on T-cell migration was evaluated using a cytokine array and flow cytometry. Tumor growth kinetics and overall survival analysis in BrafV600E /Pten-/ -/Cdkn2a-/ - mice with Ambra1 knockdown were evaluated prior to and after administration of a programmed cell death protein-1 (PD-1) inhibitor. RESULTS Loss of Ambra1 was associated with altered expression of a wide range of cytokines and chemokines as well as decreased infiltration of tumors by regulatory T cells, a subpopulation of T cells with potent immune-suppressive properties. These changes in TIME composition were associated with the autophagic function of Ambra1. In the BrafV600E /Pten-/ -/Cdkn2a-/ - model inherently resistant to immune checkpoint blockade, knockdown of Ambra1 led to accelerated tumor growth and reduced overall survival, but at the same time conferred sensitivity to anti-PD-1 treatment. CONCLUSIONS This study shows that loss of Ambra1 affects the TIME and the antitumor immune response in melanoma, highlighting new functions of Ambra1 in the regulation of melanoma biology.
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Affiliation(s)
- Alex Frias
- Melanoma Research Team, Center for Autophagy, Recycling and Disease (CARD), Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Luca Di Leo
- Melanoma Research Team, Center for Autophagy, Recycling and Disease (CARD), Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Asier Antoranz
- Lab of Translational Cell and Tissue Research, KU Leuven, Leuven, Belgium
| | - Loulieta Nazerai
- Melanoma Research Team, Center for Autophagy, Recycling and Disease (CARD), Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Marco Carretta
- National Center for Cancer Immunotherapy, Department of Oncology, Copenhagen University Hospital, Herlev, Denmark
| | - Valérie Bodemeyer
- Melanoma Research Team, Center for Autophagy, Recycling and Disease (CARD), Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Chiara Pagliuca
- Melanoma Research Team, Center for Autophagy, Recycling and Disease (CARD), Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Christina Dahl
- Molecular Diagnostics Group, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Giuseppina Claps
- INSERM U981 and Department of Oncologic Medicine, Gustave Roussy Institute and Paris Saclay University, Villejuif, France
| | | | | | - Maria Pires Pacheco
- Department of Life Sciences and Medicine, University of Luxembourg, Belvaux, Luxembourg
| | - Thomas Sauter
- Department of Life Sciences and Medicine, University of Luxembourg, Belvaux, Luxembourg
| | - Caroline Robert
- INSERM U981 and Department of Oncologic Medicine, Gustave Roussy Institute and Paris Saclay University, Villejuif, France
| | - Per Guldberg
- Molecular Diagnostics Group, Danish Cancer Society Research Center, Copenhagen, Denmark.,Department of Cancer and Inflammation Research, Institute for Molecular Medicine, University of Southern Denmark, Odense, Denmark
| | - Daniel Hargbøl Madsen
- National Center for Cancer Immunotherapy, Department of Oncology, Copenhagen University Hospital, Herlev, Denmark
| | - Francesco Cecconi
- Cell Stress and Survival, Center for Autophagy, Recycling and Disease (CARD), Danish Cancer Society Research Center, Copenhagen, Denmark.,Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | | | - Daniela De Zio
- Melanoma Research Team, Center for Autophagy, Recycling and Disease (CARD), Danish Cancer Society Research Center, Copenhagen, Denmark .,Department of Drug Design and Pharmacology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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