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Wolf J, Franco JA, Yip R, Dabaja MZ, Velez G, Liu F, Bassuk AG, Mruthyunjaya P, Dufour A, Mahajan VB. Liquid Biopsy Proteomics in Ophthalmology. J Proteome Res 2024; 23:511-522. [PMID: 38171013 PMCID: PMC10845144 DOI: 10.1021/acs.jproteome.3c00756] [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: 11/11/2023] [Revised: 12/08/2023] [Accepted: 12/11/2023] [Indexed: 01/05/2024]
Abstract
Minimally invasive liquid biopsies from the eye capture locally enriched fluids that contain thousands of proteins from highly specialized ocular cell types, presenting a promising alternative to solid tissue biopsies. The advantages of liquid biopsies include sampling the eye without causing irreversible functional damage, potentially better reflecting tissue heterogeneity, collecting samples in an outpatient setting, monitoring therapeutic response with sequential sampling, and even allowing examination of disease mechanisms at the cell level in living humans, an approach that we refer to as TEMPO (Tracing Expression of Multiple Protein Origins). Liquid biopsy proteomics has the potential to transform molecular diagnostics and prognostics and to assess disease mechanisms and personalized therapeutic strategies in individual patients. This review addresses opportunities, challenges, and future directions of high-resolution liquid biopsy proteomics in ophthalmology, with particular emphasis on the large-scale collection of high-quality samples, cutting edge proteomics technology, and artificial intelligence-supported data analysis.
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Affiliation(s)
- Julian Wolf
- Molecular
Surgery Laboratory, Stanford University, Palo Alto, California 94305, United States
- Department
of Ophthalmology, Byers Eye Institute, Stanford
University, Palo Alto, California 94303, United States
| | - Joel A. Franco
- Molecular
Surgery Laboratory, Stanford University, Palo Alto, California 94305, United States
- Department
of Ophthalmology, Byers Eye Institute, Stanford
University, Palo Alto, California 94303, United States
| | - Rui Yip
- Molecular
Surgery Laboratory, Stanford University, Palo Alto, California 94305, United States
- Department
of Ophthalmology, Byers Eye Institute, Stanford
University, Palo Alto, California 94303, United States
| | - Mohamed Ziad Dabaja
- Departments
of Physiology and Pharmacology & Biochemistry and Molecular Biology,
Cumming School of Medicine, University of
Calgary, Calgary, Alberta T2N 4N1, Canada
| | - Gabriel Velez
- Molecular
Surgery Laboratory, Stanford University, Palo Alto, California 94305, United States
- Department
of Ophthalmology, Byers Eye Institute, Stanford
University, Palo Alto, California 94303, United States
| | - Fei Liu
- Department
of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts 02115, United States
| | - Alexander G. Bassuk
- Department
of Pediatrics, University of Iowa, Iowa City, Iowa 52242, United States
| | - Prithvi Mruthyunjaya
- Department
of Ophthalmology, Byers Eye Institute, Stanford
University, Palo Alto, California 94303, United States
| | - Antoine Dufour
- Departments
of Physiology and Pharmacology & Biochemistry and Molecular Biology,
Cumming School of Medicine, University of
Calgary, Calgary, Alberta T2N 4N1, Canada
| | - Vinit B. Mahajan
- Molecular
Surgery Laboratory, Stanford University, Palo Alto, California 94305, United States
- Department
of Ophthalmology, Byers Eye Institute, Stanford
University, Palo Alto, California 94303, United States
- Veterans
Affairs Palo Alto Health Care System, Palo Alto, California 94304, United States
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2
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van den Bosch QCC, de Klein A, Verdijk RM, Kiliç E, Brosens E. Uveal melanoma modeling in mice and zebrafish. Biochim Biophys Acta Rev Cancer 2024; 1879:189055. [PMID: 38104908 DOI: 10.1016/j.bbcan.2023.189055] [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: 10/19/2023] [Revised: 12/08/2023] [Accepted: 12/11/2023] [Indexed: 12/19/2023]
Abstract
Despite extensive research and refined therapeutic options, the survival for metastasized uveal melanoma (UM) patients has not improved significantly. UM, a malignant tumor originating from melanocytes in the uveal tract, can be asymptomatic and small tumors may be detected only during routine ophthalmic exams; making early detection and treatment difficult. UM is the result of a number of characteristic somatic alterations which are associated with prognosis. Although UM morphology and biology have been extensively studied, there are significant gaps in our understanding of the early stages of UM tumor evolution and effective treatment to prevent metastatic disease remain elusive. A better understanding of the mechanisms that enable UM cells to thrive and successfully metastasize is crucial to improve treatment efficacy and survival rates. For more than forty years, animal models have been used to investigate the biology of UM. This has led to a number of essential mechanisms and pathways involved in UM aetiology. These models have also been used to evaluate the effectiveness of various drugs and treatment protocols. Here, we provide an overview of the molecular mechanisms and pharmacological studies using mouse and zebrafish UM models. Finally, we highlight promising therapeutics and discuss future considerations using UM models such as optimal inoculation sites, use of BAP1mut-cell lines and the rise of zebrafish models.
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Affiliation(s)
- Quincy C C van den Bosch
- Department of Ophthalmology, Erasmus MC, Rotterdam, the Netherlands; Department of Clinical Genetics, Erasmus MC, Rotterdam, The Netherlands; Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Annelies de Klein
- Department of Clinical Genetics, Erasmus MC, Rotterdam, The Netherlands; Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Robert M Verdijk
- Department of Pathology, Section of Ophthalmic Pathology, Erasmus MC, Rotterdam, The Netherlands; Erasmus MC Cancer Institute, Rotterdam, The Netherlands; Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands
| | - Emine Kiliç
- Department of Ophthalmology, Erasmus MC, Rotterdam, the Netherlands; Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Erwin Brosens
- Department of Clinical Genetics, Erasmus MC, Rotterdam, The Netherlands; Erasmus MC Cancer Institute, Rotterdam, The Netherlands.
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Li K, Sun L, Wang Y, Cen Y, Zhao J, Liao Q, Wu W, Sun J, Zhou M. Single-cell characterization of macrophages in uveal melanoma uncovers transcriptionally heterogeneous subsets conferring poor prognosis and aggressive behavior. Exp Mol Med 2023; 55:2433-2444. [PMID: 37907747 PMCID: PMC10689813 DOI: 10.1038/s12276-023-01115-9] [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: 09/09/2022] [Revised: 07/21/2023] [Accepted: 07/25/2023] [Indexed: 11/02/2023] Open
Abstract
Uveal melanoma (UM) is the most frequent primary intraocular malignancy with high metastatic potential and poor prognosis. Macrophages represent one of the most abundant infiltrating immune cells with diverse functions in cancers. However, the cellular heterogeneity and functional diversity of macrophages in UM remain largely unexplored. In this study, we analyzed 63,264 single-cell transcriptomes from 11 UM patients and identified four transcriptionally distinct macrophage subsets (termed MΦ-C1 to MΦ-C4). Among them, we found that MΦ-C4 exhibited relatively low expression of both M1 and M2 signature genes, loss of inflammatory pathways and antigen presentation, instead demonstrating enhanced signaling for proliferation, mitochondrial functions and metabolism. We quantified the infiltration abundance of MΦ-C4 from single-cell and bulk transcriptomes across five cohorts and found that increased MΦ-C4 infiltration was relevant to aggressive behaviors and may serve as an independent prognostic indicator for poor outcomes. We propose a novel subtyping scheme based on macrophages by integrating the transcriptional signatures of MΦ-C4 and machine learning to stratify patients into MΦ-C4-enriched or MΦ-C4-depleted subtypes. These two subtypes showed significantly different clinical outcomes and were validated through bulk RNA sequencing and immunofluorescence assays in both public multicenter cohorts and our in-house cohort. Following further translational investigation, our findings highlight a potential therapeutic strategy of targeting macrophage subsets to control metastatic disease and consistently improve the outcome of patients with UM.
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Affiliation(s)
- Ke Li
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, 325027, Wenzhou, China
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, 325027, Wenzhou, China
| | - Lanfang Sun
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, 325027, Wenzhou, China
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, 325027, Wenzhou, China
| | - Yanan Wang
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, 325027, Wenzhou, China
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, 325027, Wenzhou, China
| | - Yixin Cen
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, 325027, Wenzhou, China
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, 325027, Wenzhou, China
| | - Jingting Zhao
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, 325027, Wenzhou, China
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, 325027, Wenzhou, China
| | - Qianling Liao
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, 325027, Wenzhou, China
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, 325027, Wenzhou, China
| | - Wencan Wu
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, 325027, Wenzhou, China.
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, 325027, Wenzhou, China.
| | - Jie Sun
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, 325027, Wenzhou, China.
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, 325027, Wenzhou, China.
| | - Meng Zhou
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, 325027, Wenzhou, China.
- National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, 325027, Wenzhou, China.
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Reggiani F, Ambrosio M, Croce M, Tanda ET, Spagnolo F, Raposio E, Petito M, El Rashed Z, Forlani A, Pfeffer U, Amaro AA. Interdependence of Molecular Lesions That Drive Uveal Melanoma Metastasis. Int J Mol Sci 2023; 24:15602. [PMID: 37958591 PMCID: PMC10648765 DOI: 10.3390/ijms242115602] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 10/19/2023] [Accepted: 10/24/2023] [Indexed: 11/15/2023] Open
Abstract
The metastatic risk of uveal melanoma (UM) is defined by a limited number of molecular lesions, somatic mutations (SF3B1 and BAP1), and copy number alterations (CNA): monosomy of chromosome 3 (M3), chr8q gain (8q), chr6p gain (6p), yet the sequence of events is not clear. We analyzed data from three datasets (TCGA-UVM, GSE27831, GSE51880) with information regarding M3, 8q, 6p, SF3B1, and BAP1 status. We confirm that BAP1 mutations are always associated with M3 in high-risk patients. All other features (6p, 8q, M3, SF3B1 mutation) were present independently from each other. Chr8q gain was frequently associated with chr3 disomy. Hierarchical clustering of gene expression data of samples with different binary combinations of aggressivity factors shows that patients with 8q|M3, BAP1|M3 form one cluster enriched in samples that developed metastases. Patients with 6p combined with either 8q or SF3B1 are mainly represented in the other, low-risk cluster. Several gene expression events that show a non-significant association with outcome when considering single features become significant when analyzing combinations of risk features indicating additive action. The independence of risk factors is consistent with a random risk model of UM metastasis without an obligatory sequence.
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Affiliation(s)
- Francesco Reggiani
- Laboratory of Gene Expression Regulation, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy
| | - Marianna Ambrosio
- Laboratory of Gene Expression Regulation, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy
- Department of Experimental Medicine (DIMES), University of Genova, Via Leon Battista Alberti, 16132 Genova, Italy
| | - Michela Croce
- Biotherapies, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy
| | - Enrica Teresa Tanda
- Skin Cancer Unit, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy
- Department of Internal Medicine and Medical Specialties, University of Genova, Viale Benedetto XV, 16132 Genova, Italy
| | - Francesco Spagnolo
- Skin Cancer Unit, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy
- Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genova, 16132 Genova, Italy
| | - Edoardo Raposio
- Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genova, 16132 Genova, Italy
- Plastic Surgery Division, Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genova, 16132 Genova, Italy
| | - Mariangela Petito
- Laboratory of Gene Expression Regulation, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy
| | - Zeinab El Rashed
- Laboratory of Gene Expression Regulation, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy
| | - Alessandra Forlani
- Laboratory of Gene Expression Regulation, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy
| | - Ulrich Pfeffer
- Laboratory of Gene Expression Regulation, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy
| | - Adriana Agnese Amaro
- Laboratory of Gene Expression Regulation, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy
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Hessey S, Fessas P, Zaccaria S, Jamal-Hanjani M, Swanton C. Insights into the metastatic cascade through research autopsies. Trends Cancer 2023; 9:490-502. [PMID: 37059687 DOI: 10.1016/j.trecan.2023.03.002] [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: 02/02/2023] [Revised: 03/05/2023] [Accepted: 03/07/2023] [Indexed: 04/16/2023]
Abstract
Metastasis is a complex process and the leading cause of cancer-related death globally. Recent studies have demonstrated that genomic sequencing data from paired primary and metastatic tumours can be used to trace the evolutionary origins of cells responsible for metastasis. This approach has yielded new insights into the genomic alterations that engender metastatic potential, and the mechanisms by which cancer spreads. Given that the reliability of these approaches is contingent upon how representative the samples are of primary and metastatic tumour heterogeneity, we review insights from studies that have reconstructed the evolution of metastasis within the context of their cohorts and designs. We discuss the role of research autopsies in achieving the comprehensive sampling necessary to advance the current understanding of metastasis.
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Affiliation(s)
- Sonya Hessey
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK; Cancer Metastasis Laboratory, University College London Cancer Institute, London, UK; Computational Cancer Genomics Research Group, University College London Cancer Institute, London, UK
| | - Petros Fessas
- Cancer Metastasis Laboratory, University College London Cancer Institute, London, UK
| | - Simone Zaccaria
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK; Computational Cancer Genomics Research Group, University College London Cancer Institute, London, UK
| | - Mariam Jamal-Hanjani
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK; Cancer Metastasis Laboratory, University College London Cancer Institute, London, UK; Department of Oncology, University College London Hospitals, London, UK.
| | - Charles Swanton
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK; Department of Oncology, University College London Hospitals, London, UK; Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK.
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6
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Rantala ES, Parrozzani R, Hernberg MM, Chiarion-Sileni V, Kivelä TT, Midena E. Determinants of Long-Term Survival in Metastatic Choroidal and Ciliary Body Melanoma. Am J Ophthalmol 2023; 246:258-272. [PMID: 36328199 DOI: 10.1016/j.ajo.2022.10.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 09/26/2022] [Accepted: 10/18/2022] [Indexed: 12/15/2022]
Abstract
PURPOSE To build and validate a prognostic model that predicts long-term overall survival (OS) in metastatic choroidal and ciliary body melanoma (CCBM) to facilitate patient counseling and planning, reporting, and interpreting clinical trials. DESIGN Retrospective cohort study with validation. METHODS We analyzed predictors of intermediate (IMT; 25-<42 months) and long-term (LT; ≥42 months) OS in a Finnish nationwide cohort of 330 patients with metastatic CCBM. Short-term (<25 months), IMT, and LT survival were compared with pairwise and ordinal logistic regression. A single-center cohort of 259 patients from Italy was used for validation. Models were compared with a deviance test. RESULTS Median OS was 12 and 17 months in the building and validation datasets, respectively; 40 (12%) and 31 (9%) compared with 44 (17%) and 32 (12%) patients were IMT and LT survivors, respectively. Alkaline phosphatase or lactate dehydrogenase level never exceeded 2 times the upper normal limit (UNL) in either LT cohort. Conditional to both being ≤2 times the UNL, distant metastasis-free interval (DMFI) >42 months (odds ratio [OR] 4.09-4.64; P < .001) paired with age <60 years (OR 3.23; P = .002), having no symptoms (OR 4.19; P = .005), and the largest diameter of the largest metastasis <30 mm (Tumor, Node, Metastasis stage M1a; OR 3.05; P = .001) independently predicted higher odds of surviving longer (IMT or LT) without model preference. These results were confirmed in the validation dataset. CONCLUSIONS Alkaline phosphatase or lactate dehydrogenase >2 times the UNL essentially precluded LT survival. The most robust predictor otherwise was DMFI >42 months, followed by age <60 years, absence of symptoms, and Tumor, Node, Metastasis stage M1a.
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Affiliation(s)
- Elina S Rantala
- From the Ocular Oncology Service (E.S.R., T.T.K.), Department of Ophthalmology.
| | | | - Micaela M Hernberg
- The Comprehensive Cancer Centre (M.M.H.), Department of Oncology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | | | - Tero T Kivelä
- From the Ocular Oncology Service (E.S.R., T.T.K.), Department of Ophthalmology
| | - Edoardo Midena
- Department of Ophthalmology (R.P., E.M.), University of Padova; IRCCS-Fondazione Bietti (E.M.), Rome, Italy
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Cai MY, Xu YL, Rong H, Yang H. Low Level of PALMD Contributes to the Metastasis of Uveal Melanoma. Front Oncol 2022; 12:802941. [PMID: 35494064 PMCID: PMC9043551 DOI: 10.3389/fonc.2022.802941] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Accepted: 03/16/2022] [Indexed: 11/13/2022] Open
Abstract
Uveal melanoma (UM) is a highly aggressive disease. There is an urgent need to develop the metastasis prediction markers of UM. This study aims to detect the key role of PALMD in UM metastasis. Transcriptome sequencing results of 2 sets of UM metastatic samples (GSE22138 and GSE156877) were downloaded from the Gene Expression Omnibus (GEO), and 18 overlapping differentially expressed genes were screened out, including PALMD. PALMD was significantly underexpressed in metastatic UM tissue. Low expression of PALMD was associated with poor prognosis in UM patients. The decreased expression of PALMD promoted the invasion and migration of 92-1 and Mel270 cells, while the high expression of PALMD inhibited the invasion and migration of UM cells. Furthermore, the levels of matrix metallopeptidase (MMP) 2 and MMP9 increased after transfection of siRNAs specifically targeting PALMD, whereas the levels of MMP2 and MMP9 were decreased after PALMD overexpression. However, PALMD did not affect the proliferation of UM cells. In addition, ZNF263 promoted the transcription of PALMD through the putative binding sequence using the JASPAR database, luciferase reporter gene analysis and chromatin immunoprecipitation assay. In summary, the expression of PALMD regulated by ZNF263 plays an important role in UM metastasis.
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Affiliation(s)
- Min-Yun Cai
- Department of Ophthalmology, Shanghai East Hospital, Shanghai, China
| | - Yue-Li Xu
- Department of Ophthalmology, Shanghai East Hospital, Shanghai, China
| | - Hua Rong
- Department of Ophthalmology, Shanghai Jiangong Hospital, Shanghai, China
| | - Hai Yang
- Department of Ophthalmology, Shanghai East Hospital, Shanghai, China
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Rossi E, Croce M, Reggiani F, Schinzari G, Ambrosio M, Gangemi R, Tortora G, Pfeffer U, Amaro A. Uveal Melanoma Metastasis. Cancers (Basel) 2021; 13:5684. [PMID: 34830841 PMCID: PMC8616038 DOI: 10.3390/cancers13225684] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Revised: 11/10/2021] [Accepted: 11/11/2021] [Indexed: 02/07/2023] Open
Abstract
Uveal melanoma (UM) is characterized by relatively few, highly incident molecular alterations and their association with metastatic risk is deeply understood. Nevertheless, this knowledge has so far not led to innovative therapies for the successful treatment of UM metastases or for adjuvant therapy, leaving survival after diagnosis of metastatic UM almost unaltered in decades. The driver mutations of UM, mainly in the G-protein genes GNAQ and GNA11, activate the MAP-kinase pathway as well as the YAP/TAZ pathway. At present, there are no drugs that target the latter and this likely explains the failure of mitogen activated kinase kinase inhibitors. Immune checkpoint blockers, despite the game changing effect in cutaneous melanoma (CM), show only limited effects in UM probably because of the low mutational burden of 0.5 per megabase and the unavailability of antibodies targeting the main immune checkpoint active in UM. The highly pro-tumorigenic microenvironment of UM also contributes to therapy resistance. However, T-cell redirection by a soluble T-cell receptor that is fused to an anti-CD3 single-chain variable fragment, local, liver specific therapy, new immune checkpoint blockers, and YAP/TAZ specific drugs give new hope to repeating the success of innovative therapy obtained for CM.
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Affiliation(s)
- Ernesto Rossi
- Medical Oncology, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy; (E.R.); (G.S.); (G.T.)
| | - Michela Croce
- Laboratory of Biotherapies, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy; (M.C.); (R.G.)
| | - Francesco Reggiani
- Laboratory of Epigenetics, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy; (F.R.); (M.A.); (A.A.)
| | - Giovanni Schinzari
- Medical Oncology, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy; (E.R.); (G.S.); (G.T.)
- Medical Oncology, Università Cattolica del S. Cuore, 00168 Rome, Italy
| | - Marianna Ambrosio
- Laboratory of Epigenetics, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy; (F.R.); (M.A.); (A.A.)
| | - Rosaria Gangemi
- Laboratory of Biotherapies, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy; (M.C.); (R.G.)
| | - Giampaolo Tortora
- Medical Oncology, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy; (E.R.); (G.S.); (G.T.)
- Medical Oncology, Università Cattolica del S. Cuore, 00168 Rome, Italy
| | - Ulrich Pfeffer
- Laboratory of Epigenetics, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy; (F.R.); (M.A.); (A.A.)
| | - Adriana Amaro
- Laboratory of Epigenetics, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy; (F.R.); (M.A.); (A.A.)
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