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Varela M, Villatoro S, Lorenzo D, Piulats JM, Caminal JM. Optimizing ctDNA: An Updated Review of a Promising Clinical Tool for the Management of Uveal Melanoma. Cancers (Basel) 2024; 16:3053. [PMID: 39272911 PMCID: PMC11394595 DOI: 10.3390/cancers16173053] [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: 07/26/2024] [Revised: 08/23/2024] [Accepted: 08/26/2024] [Indexed: 09/15/2024] Open
Abstract
Uveal melanoma (UM) is the most common primary malignant intraocular tumor in adults. Distant metastasis is common, affecting around 50% of patients. Prognostic accuracy relies on molecular characterization of tumor tissue. In these patients, however, conventional biopsy can be challenging due to the difficulty of obtaining sufficient tissue for the analysis due to the small tumor size and/or post-brachytherapy shrinkage. An alternative approach is liquid biopsy, a non-invasive technique that allows for real-time monitoring of tumor dynamics. Liquid biopsy plays an increasingly prominent role in precision medicine, providing valuable information on the molecular profile of the tumor and treatment response. Liquid biopsy can facilitate early detection and can be used to monitor progression and recurrence. ctDNA-based tests are particularly promising due to their ease of integration into clinical practice. In this review, we discuss the application of ctDNA in liquid biopsies for UM. More specifically, we explore the emerging technologies in this field and the advantages and disadvantages of using different bodily fluids for liquid biopsy. Finally, we discuss the current barriers to routine clinical use of this technique.
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Affiliation(s)
- Mar Varela
- Department of Pathology, Hospital Universitari de Bellvitge, 08907 L'Hospitalet de Llobregat, Barcelona, Spain
- Laboratori Core d'Anàlisi Molecular, Hospital Universitari de Bellvitge-Institut Català d'Oncologia, 08907 L'Hospitalet de Llobregat, Barcelona, Spain
| | - Sergi Villatoro
- Department of Pathology, Hospital Universitari de Bellvitge, 08907 L'Hospitalet de Llobregat, Barcelona, Spain
- Laboratori Core d'Anàlisi Molecular, Hospital Universitari de Bellvitge-Institut Català d'Oncologia, 08907 L'Hospitalet de Llobregat, Barcelona, Spain
| | - Daniel Lorenzo
- Ophthalmology Department, Hospital Universitari de Bellvitge, 08907 L'Hospitalet de Llobregat, Barcelona, Spain
- Institut d'Investigació Biomèdica de Bellvitge (IDIBELL), 08908 L'Hospitalet de Llobregat, Barcelona, Spain
| | - Josep Maria Piulats
- Institut d'Investigació Biomèdica de Bellvitge (IDIBELL), 08908 L'Hospitalet de Llobregat, Barcelona, Spain
- Medical Oncology Department, Institut Català d'Oncologia, 08908 L'Hospitalet de Llobregat, Barcelona, Spain
| | - Josep Maria Caminal
- Ophthalmology Department, Hospital Universitari de Bellvitge, 08907 L'Hospitalet de Llobregat, Barcelona, Spain
- Institut d'Investigació Biomèdica de Bellvitge (IDIBELL), 08908 L'Hospitalet de Llobregat, Barcelona, Spain
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2
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Beigi YZ, Lanjanian H, Fayazi R, Salimi M, Hoseyni BHM, Noroozizadeh MH, Masoudi-Nejad A. Heterogeneity and molecular landscape of melanoma: implications for targeted therapy. MOLECULAR BIOMEDICINE 2024; 5:17. [PMID: 38724687 PMCID: PMC11082128 DOI: 10.1186/s43556-024-00182-2] [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: 11/19/2023] [Accepted: 04/08/2024] [Indexed: 05/12/2024] Open
Abstract
Uveal cancer (UM) offers a complex molecular landscape characterized by substantial heterogeneity, both on the genetic and epigenetic levels. This heterogeneity plays a critical position in shaping the behavior and response to therapy for this uncommon ocular malignancy. Targeted treatments with gene-specific therapeutic molecules may prove useful in overcoming radiation resistance, however, the diverse molecular makeups of UM call for a patient-specific approach in therapy procedures. We need to understand the intricate molecular landscape of UM to develop targeted treatments customized to each patient's specific genetic mutations. One of the promising approaches is using liquid biopsies, such as circulating tumor cells (CTCs) and circulating tumor DNA (ctDNA), for detecting and monitoring the disease at the early stages. These non-invasive methods can help us identify the most effective treatment strategies for each patient. Single-cellular is a brand-new analysis platform that gives treasured insights into diagnosis, prognosis, and remedy. The incorporation of this data with known clinical and genomics information will give a better understanding of the complicated molecular mechanisms that UM diseases exploit. In this review, we focused on the heterogeneity and molecular panorama of UM, and to achieve this goal, the authors conducted an exhaustive literature evaluation spanning 1998 to 2023, using keywords like "uveal melanoma, "heterogeneity". "Targeted therapies"," "CTCs," and "single-cellular analysis".
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Affiliation(s)
- Yasaman Zohrab Beigi
- Laboratory of System Biology and Bioinformatics (LBB), Institute of Biochemistry and Biophysics, University of Tehran, Tehran, Iran
| | - Hossein Lanjanian
- Software Engineering Department, Engineering Faculty, Istanbul Topkapi University, Istanbul, Turkey
| | - Reyhane Fayazi
- Laboratory of System Biology and Bioinformatics (LBB), Institute of Biochemistry and Biophysics, University of Tehran, Tehran, Iran
| | - Mahdieh Salimi
- Department of Medical Genetics, Institute of Medical Biotechnology, National Institute of Genetic Engineering and Biotechnology (NIGEB), Tehran, Iran
| | - Behnaz Haji Molla Hoseyni
- Laboratory of System Biology and Bioinformatics (LBB), Institute of Biochemistry and Biophysics, University of Tehran, Tehran, Iran
| | | | - Ali Masoudi-Nejad
- Laboratory of System Biology and Bioinformatics (LBB), Institute of Biochemistry and Biophysics, University of Tehran, Tehran, Iran.
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Busch MA, Haase A, Alefeld E, Biewald E, Jabbarli L, Dünker N. Trefoil Family Factor Peptide 1-A New Biomarker in Liquid Biopsies of Retinoblastoma under Therapy. Cancers (Basel) 2023; 15:4828. [PMID: 37835522 PMCID: PMC10571905 DOI: 10.3390/cancers15194828] [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: 08/21/2023] [Revised: 09/01/2023] [Accepted: 09/14/2023] [Indexed: 10/15/2023] Open
Abstract
Effective management of retinoblastoma (RB), the most prevalent childhood eye cancer, depends on reliable monitoring and diagnosis. A promising candidate in this context is the secreted trefoil family factor peptide 1 (TFF1), recently discovered as a promising new biomarker in patients with a more advanced subtype of retinoblastoma. The present study investigated TFF1 expression within aqueous humor (AH) of enucleated eyes and compared TFF1 levels in AH and corresponding blood serum samples from RB patients undergoing intravitreal chemotherapy (IVC). TFF1 was consistently detectable in AH, confirming its potential as a biomarker. Crucially, our data confirmed that TFF1-secreting cells within the tumor mass originate from RB tumor cells, not from surrounding stromal cells. IVC-therapy-responsive patients exhibited remarkably reduced TFF1 levels post-therapy. By contrast, RB patients' blood serum displayed low-to-undetectable levels of TFF1 even after sample concentration and no therapy-dependent changes were observed. Our findings suggest that compared with blood serum, AH represents the more reliable source of TFF1 if used for liquid biopsy RB marker analysis in RB patients. Thus, analysis of TFF1 in AH of RB patients potentially provides a minimally invasive tool for monitoring RB therapy efficacy, suggesting its importance for effective treatment regimens.
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Affiliation(s)
- Maike Anna Busch
- Institute of Anatomy II, Department of Neuroanatomy, Medical Faculty, Center for Translational Neuro and Behavioral Sciences (C-TNBS), University of Duisburg-Essen, 45147 Essen, Germany; (A.H.); (E.A.); (N.D.)
| | - André Haase
- Institute of Anatomy II, Department of Neuroanatomy, Medical Faculty, Center for Translational Neuro and Behavioral Sciences (C-TNBS), University of Duisburg-Essen, 45147 Essen, Germany; (A.H.); (E.A.); (N.D.)
| | - Emily Alefeld
- Institute of Anatomy II, Department of Neuroanatomy, Medical Faculty, Center for Translational Neuro and Behavioral Sciences (C-TNBS), University of Duisburg-Essen, 45147 Essen, Germany; (A.H.); (E.A.); (N.D.)
| | - Eva Biewald
- Department of Ophthalmology, Children’s Hospital, University of Duisburg-Essen, 45147 Essen, Germany; (E.B.); (L.J.)
| | - Leyla Jabbarli
- Department of Ophthalmology, Children’s Hospital, University of Duisburg-Essen, 45147 Essen, Germany; (E.B.); (L.J.)
| | - Nicole Dünker
- Institute of Anatomy II, Department of Neuroanatomy, Medical Faculty, Center for Translational Neuro and Behavioral Sciences (C-TNBS), University of Duisburg-Essen, 45147 Essen, Germany; (A.H.); (E.A.); (N.D.)
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4
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Martel A, Mograbi B, Romeo B, Gastaud L, Lalvee S, Zahaf K, Fayada J, Nahon-Esteve S, Bonnetaud C, Salah M, Tanga V, Baillif S, Bertolotto C, Lassalle S, Hofman P. Assessment of Different Circulating Tumor Cell Platforms for Uveal Melanoma: Potential Impact for Future Routine Clinical Practice. Int J Mol Sci 2023; 24:11075. [PMID: 37446253 DOI: 10.3390/ijms241311075] [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: 06/02/2023] [Revised: 06/29/2023] [Accepted: 07/03/2023] [Indexed: 07/15/2023] Open
Abstract
Liquid biopsy and circulating tumor cell (CTC) screening has gained interest over the last two decades for detecting almost all solid malignancies. To date, the major limitation in terms of the applicability of CTC screening in daily clinical practice is the lack of reproducibility due to the high number of platforms available that use various technologies (e.g., label-dependent versus label-free detection). Only a few studies have compared different CTC platforms. The aim of this study was to compare the efficiency of four commercially available CTC platforms (Vortex (VTX-1), ClearCell FX, ISET, and Cellsearch) for the detection and identification of uveal melanoma cells (OMM 2.3 cell line). Tumor cells were seeded in RPMI medium and venous blood from healthy donors, and then processed similarly using these four platforms. Melan-A immunochemistry was performed to identify tumor cells, except when the Cellsearch device was used (automated identification). The mean overall recovery rates (with mean recovered cells) were 39.2% (19.92), 22.2% (11.31), 8.9% (4.85), and 1.1% (0.20) for the ISET, Vortex (VTX-1), ClearCell FX, and CellSearch platforms, respectively. Although paramount, the recovery rate is not sufficient to assess a CTC platform. Other parameters, such as the purpose for using a platform (diagnosis, genetics, drug sensitivity, or patient-derived xenograft models), reproducibility, purity, user-friendliness, cost-effectiveness, and ergonomics, should also be considered before they can be used in daily clinical practice and are discussed in this article.
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Affiliation(s)
- Arnaud Martel
- Ophthalmology Department, University Hospital of Nice, Cote d'Azur University, 06 000 Nice, France
- Institute for Research on Cancer and Aging, Nice (IRCAN), FHU OncoAge, Cote d'Azur University, 06 000 Nice, France
| | - Baharia Mograbi
- Institute for Research on Cancer and Aging, Nice (IRCAN), FHU OncoAge, Cote d'Azur University, 06 000 Nice, France
| | - Barnabe Romeo
- Institute for Research on Cancer and Aging, Nice (IRCAN), FHU OncoAge, Cote d'Azur University, 06 000 Nice, France
| | - Lauris Gastaud
- Oncology Department, Antoine Lacassagne Cancer Center, 06 000 Nice, France
| | - Salome Lalvee
- Laboratory of Clinical and Experimental Pathology, University Hospital of Nice, FHU OncoAge, Cote d'Azur University, Biobank BB-0033-00025, 06 000 Nice, France
| | - Katia Zahaf
- Laboratory of Clinical and Experimental Pathology, University Hospital of Nice, FHU OncoAge, Cote d'Azur University, Biobank BB-0033-00025, 06 000 Nice, France
| | - Julien Fayada
- Laboratory of Clinical and Experimental Pathology, University Hospital of Nice, FHU OncoAge, Cote d'Azur University, Biobank BB-0033-00025, 06 000 Nice, France
| | - Sacha Nahon-Esteve
- Ophthalmology Department, University Hospital of Nice, Cote d'Azur University, 06 000 Nice, France
- Inserm, Biology and Pathologies of Melanocytes, Team1, Equipe labellisée Ligue 2020 and Equipe labellisée ARC 2019, Centre Méditerranéen de Médecine Moléculaire, 06 100 Nice, France
| | - Christelle Bonnetaud
- Laboratory of Clinical and Experimental Pathology, University Hospital of Nice, FHU OncoAge, Cote d'Azur University, Biobank BB-0033-00025, 06 000 Nice, France
| | - Myriam Salah
- Laboratory of Clinical and Experimental Pathology, University Hospital of Nice, FHU OncoAge, Cote d'Azur University, Biobank BB-0033-00025, 06 000 Nice, France
| | - Virginie Tanga
- Laboratory of Clinical and Experimental Pathology, University Hospital of Nice, FHU OncoAge, Cote d'Azur University, Biobank BB-0033-00025, 06 000 Nice, France
| | - Stéphanie Baillif
- Ophthalmology Department, University Hospital of Nice, Cote d'Azur University, 06 000 Nice, France
| | - Corine Bertolotto
- Inserm, Biology and Pathologies of Melanocytes, Team1, Equipe labellisée Ligue 2020 and Equipe labellisée ARC 2019, Centre Méditerranéen de Médecine Moléculaire, 06 100 Nice, France
| | - Sandra Lassalle
- Institute for Research on Cancer and Aging, Nice (IRCAN), FHU OncoAge, Cote d'Azur University, 06 000 Nice, France
- Laboratory of Clinical and Experimental Pathology, University Hospital of Nice, FHU OncoAge, Cote d'Azur University, Biobank BB-0033-00025, 06 000 Nice, France
| | - Paul Hofman
- Institute for Research on Cancer and Aging, Nice (IRCAN), FHU OncoAge, Cote d'Azur University, 06 000 Nice, France
- Laboratory of Clinical and Experimental Pathology, University Hospital of Nice, FHU OncoAge, Cote d'Azur University, Biobank BB-0033-00025, 06 000 Nice, France
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Martel A, Gastaud L, Bonnetaud C, Nahon-Esteve S, Washetine K, Bordone O, Salah M, Tanga V, Fayada J, Lespinet V, Allegra M, Lalvee S, Zahaf K, Baillif S, Bertolotto C, Mograbi B, Lassalle S, Hofman P. Need for a Dedicated Ophthalmic Malignancy Clinico-Biological Biobank: The Nice Ocular MAlignancy (NOMA) Biobank. Cancers (Basel) 2023; 15:cancers15082372. [PMID: 37190299 DOI: 10.3390/cancers15082372] [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: 03/04/2023] [Revised: 04/03/2023] [Accepted: 04/10/2023] [Indexed: 05/17/2023] Open
Abstract
Ophthalmic malignancies include various rare neoplasms involving the conjunctiva, the uvea, or the periocular area. These tumors are characterized by their scarcity as well as their histological, and sometimes genetic, diversity. Uveal melanoma (UM) is the most common primary intraocular malignancy. UM raises three main challenges highlighting the specificity of ophthalmic malignancies. First, UM is a very rare malignancy with an estimated incidence of 6 cases per million inhabitants. Second, tissue biopsy is not routinely recommended due to the risk of extraocular dissemination. Third, UM is an aggressive cancer because it is estimated that about 50% of patients will experience metastatic spread without any curative treatment available at this stage. These challenges better explain the two main objectives in the creation of a dedicated UM biobank. First, collecting UM samples is essential due to tissue scarcity. Second, large-scale translational research programs based on stored human samples will help to better determine UM pathogenesis with the aim of identifying new biomarkers, allowing for early diagnosis and new targeted treatment modalities. Other periocular malignancies, such as conjunctival melanomas or orbital malignancies, also raise specific concerns. In this context, the number of biobanks worldwide dedicated to ocular malignancies is very limited. The aims of this article were (i) to describe the specific challenges raised by a dedicated ocular malignancy biobank, (ii) to report our experience in setting up such a biobank, and (iii) to discuss future perspectives in this field.
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Affiliation(s)
- Arnaud Martel
- Ophthalmology Department, Nice University Hospital, 06001 Nice, France
- Institute of Research on Cancer and Aging in Nice (IRCAN), Team 4, Centre Antoine Lacassagne, Centre National de la Recherche Scientifique (CNRS), Institut National de la Santé et de la Recherche Médicale (INSERM), Fédération Hospitalo-Universitaire (FHU) OncoAge, Côte d'Azur University, 06189 Nice, France
| | - Lauris Gastaud
- Oncology Department, Antoine Lacassagne Cancer Centre, 06000 Nice, France
| | - Christelle Bonnetaud
- Hospital-Integrated Biobank (BB-0033-00025), Centre Hospitalier Universitaire de Nice, Fédération Hospitalo-Universitaire (FHU) OncoAge, Côte d'Azur University, CEDEX 1, 06001 Nice, France
| | | | - Kevin Washetine
- Hospital-Integrated Biobank (BB-0033-00025), Centre Hospitalier Universitaire de Nice, Fédération Hospitalo-Universitaire (FHU) OncoAge, Côte d'Azur University, CEDEX 1, 06001 Nice, France
- Laboratory of Clinical and Experimental Pathology, Centre Hospitalier Universitaire de Nice, Fédération Hospitalo-Universitaire (FHU) OncoAge, Côte d'Azur University, 06000 Nice, France
| | - Olivier Bordone
- Laboratory of Clinical and Experimental Pathology, Centre Hospitalier Universitaire de Nice, Fédération Hospitalo-Universitaire (FHU) OncoAge, Côte d'Azur University, 06000 Nice, France
| | - Myriam Salah
- Hospital-Integrated Biobank (BB-0033-00025), Centre Hospitalier Universitaire de Nice, Fédération Hospitalo-Universitaire (FHU) OncoAge, Côte d'Azur University, CEDEX 1, 06001 Nice, France
| | - Virginie Tanga
- Hospital-Integrated Biobank (BB-0033-00025), Centre Hospitalier Universitaire de Nice, Fédération Hospitalo-Universitaire (FHU) OncoAge, Côte d'Azur University, CEDEX 1, 06001 Nice, France
| | - Julien Fayada
- Hospital-Integrated Biobank (BB-0033-00025), Centre Hospitalier Universitaire de Nice, Fédération Hospitalo-Universitaire (FHU) OncoAge, Côte d'Azur University, CEDEX 1, 06001 Nice, France
| | - Virginie Lespinet
- Laboratory of Clinical and Experimental Pathology, Centre Hospitalier Universitaire de Nice, Fédération Hospitalo-Universitaire (FHU) OncoAge, Côte d'Azur University, 06000 Nice, France
| | - Maryline Allegra
- Hospital-Integrated Biobank (BB-0033-00025), Centre Hospitalier Universitaire de Nice, Fédération Hospitalo-Universitaire (FHU) OncoAge, Côte d'Azur University, CEDEX 1, 06001 Nice, France
| | - Salome Lalvee
- Hospital-Integrated Biobank (BB-0033-00025), Centre Hospitalier Universitaire de Nice, Fédération Hospitalo-Universitaire (FHU) OncoAge, Côte d'Azur University, CEDEX 1, 06001 Nice, France
| | - Katia Zahaf
- Hospital-Integrated Biobank (BB-0033-00025), Centre Hospitalier Universitaire de Nice, Fédération Hospitalo-Universitaire (FHU) OncoAge, Côte d'Azur University, CEDEX 1, 06001 Nice, France
| | - Stephanie Baillif
- Ophthalmology Department, Nice University Hospital, 06001 Nice, France
| | - Corine Bertolotto
- C3M, Institut National de la Santé et de la Recherche Médicale (INSERM), Côte d'Azur University, 06200 Nice, France
| | - Baharia Mograbi
- Institute of Research on Cancer and Aging in Nice (IRCAN), Team 4, Centre Antoine Lacassagne, Centre National de la Recherche Scientifique (CNRS), Institut National de la Santé et de la Recherche Médicale (INSERM), Fédération Hospitalo-Universitaire (FHU) OncoAge, Côte d'Azur University, 06189 Nice, France
| | - Sandra Lassalle
- Institute of Research on Cancer and Aging in Nice (IRCAN), Team 4, Centre Antoine Lacassagne, Centre National de la Recherche Scientifique (CNRS), Institut National de la Santé et de la Recherche Médicale (INSERM), Fédération Hospitalo-Universitaire (FHU) OncoAge, Côte d'Azur University, 06189 Nice, France
- Hospital-Integrated Biobank (BB-0033-00025), Centre Hospitalier Universitaire de Nice, Fédération Hospitalo-Universitaire (FHU) OncoAge, Côte d'Azur University, CEDEX 1, 06001 Nice, France
- Laboratory of Clinical and Experimental Pathology, Centre Hospitalier Universitaire de Nice, Fédération Hospitalo-Universitaire (FHU) OncoAge, Côte d'Azur University, 06000 Nice, France
| | - Paul Hofman
- Institute of Research on Cancer and Aging in Nice (IRCAN), Team 4, Centre Antoine Lacassagne, Centre National de la Recherche Scientifique (CNRS), Institut National de la Santé et de la Recherche Médicale (INSERM), Fédération Hospitalo-Universitaire (FHU) OncoAge, Côte d'Azur University, 06189 Nice, France
- Hospital-Integrated Biobank (BB-0033-00025), Centre Hospitalier Universitaire de Nice, Fédération Hospitalo-Universitaire (FHU) OncoAge, Côte d'Azur University, CEDEX 1, 06001 Nice, France
- Laboratory of Clinical and Experimental Pathology, Centre Hospitalier Universitaire de Nice, Fédération Hospitalo-Universitaire (FHU) OncoAge, Côte d'Azur University, 06000 Nice, France
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6
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Retinoblastoma: From genes to patient care. Eur J Med Genet 2022; 66:104674. [PMID: 36470558 DOI: 10.1016/j.ejmg.2022.104674] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 11/04/2022] [Accepted: 11/27/2022] [Indexed: 12/12/2022]
Abstract
Retinoblastoma is the most common paediatric neoplasm of the retina, and one of the earliest model of cancer genetics since the identification of the master tumour suppressor gene RB1. Tumorigenesis has been shown to be driven by pathogenic variants of the RB1 locus, but also genomic and epigenomic alterations outside the locus. The increasing knowledge on this "mutational landscape" is used in current practice for precise genetic testing and counselling. Novel methods provide access to pre-therapeutic tumour DNA, by isolating cell-free DNA from aqueous humour or plasma. This is expected to facilitate assessment of the constitutional status of RB1, to provide an early risk stratification using molecular prognostic markers, to follow the response to the treatment in longitudinal studies, and to predict the response to targeted therapies. The aim of this review is to show how molecular genetics of retinoblastoma drives diagnosis, treatment, monitoring of the disease and surveillance of the patients and relatives. We first recap the current knowledge on retinoblastoma genetics and its use in every-day practice. We then focus on retinoblastoma subgrouping at the era of molecular biology, and the expected input of cell-free DNA in the field.
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Parappilly MS, Chin Y, Whalen RM, Anderson AN, Robinson TS, Strgar L, Sutton TL, Conley P, Klocke C, Gibbs SL, Chang YH, Wu G, Wong MH, Skalet AH. Circulating Neoplastic-Immune Hybrid Cells Predict Metastatic Progression in Uveal Melanoma. Cancers (Basel) 2022; 14:cancers14194617. [PMID: 36230539 PMCID: PMC9564048 DOI: 10.3390/cancers14194617] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Revised: 09/15/2022] [Accepted: 09/19/2022] [Indexed: 01/25/2023] Open
Abstract
Background: Uveal melanoma is an aggressive cancer with high metastatic risk. Recently, we identified a circulating cancer cell population that co-expresses neoplastic and leukocyte antigens, termed circulating hybrid cells (CHCs). In other cancers, CHCs are more numerous and better predict oncologic outcomes compared to circulating tumor cells (CTCs). We sought to investigate the potential of CHCs as a prognostic biomarker in uveal melanoma. Methods: We isolated peripheral blood monocular cells from uveal melanoma patients at the time of primary treatment and used antibodies against leukocyte and melanoma markers to identify and enumerate CHCs and CTCs by immunocytochemistry. Results: Using a multi-marker approach to capture the heterogeneous disseminated tumor cell population, detection of CHCs was highly sensitive in uveal melanoma patients regardless of disease stage. CHCs were detected in 100% of stage I-III uveal melanoma patients (entire cohort, n = 68), whereas CTCs were detected in 58.8% of patients. CHCs were detected at levels statically higher than CTCs across all stages (p = 0.05). Moreover, CHC levels, but not CTCs, predicted 3 year progression-free survival (p < 0.03) and overall survival (p < 0.04). Conclusion: CHCs are a novel and promising prognostic biomarker in uveal melanoma.
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Affiliation(s)
- Michael S. Parappilly
- Department of Cell, Developmental and Cancer Biology, Oregon Health & Science University, Portland, OR 97201, USA
| | - Yuki Chin
- Department of Cell, Developmental and Cancer Biology, Oregon Health & Science University, Portland, OR 97201, USA
| | - Riley M. Whalen
- Department of Cell, Developmental and Cancer Biology, Oregon Health & Science University, Portland, OR 97201, USA
| | - Ashley N. Anderson
- Department of Cell, Developmental and Cancer Biology, Oregon Health & Science University, Portland, OR 97201, USA
| | - Trinity S. Robinson
- Department of Cell, Developmental and Cancer Biology, Oregon Health & Science University, Portland, OR 97201, USA
| | - Luke Strgar
- Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR 97201, USA
- Department of Computational Biology, Oregon Health & Science University, Portland, OR 97239, USA
| | - Thomas L. Sutton
- Department of Surgery, Oregon Health & Science University, Portland, OR 97239, USA
| | - Patrick Conley
- Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR 97239, USA
| | - Christopher Klocke
- Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR 97239, USA
| | - Summer L. Gibbs
- Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR 97201, USA
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97201, USA
| | - Young Hwan Chang
- Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR 97201, USA
- Department of Computational Biology, Oregon Health & Science University, Portland, OR 97239, USA
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97201, USA
| | - Guanming Wu
- Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, OR 97239, USA
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97201, USA
| | - Melissa H. Wong
- Department of Cell, Developmental and Cancer Biology, Oregon Health & Science University, Portland, OR 97201, USA
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97201, USA
- Correspondence: (M.H.W.); (A.H.S.)
| | - Alison H. Skalet
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97201, USA
- Casey Eye Institute, Oregon Health & Science University, Portland, OR 97239, USA
- Correspondence: (M.H.W.); (A.H.S.)
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8
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Bindewald-Wittich A, Holz FG, Ach T, Fiorentzis M, Bechrakis NE, Willerding GD. Fundus Autofluorescence Imaging in Patients with Choroidal Melanoma. Cancers (Basel) 2022; 14:cancers14071809. [PMID: 35406581 PMCID: PMC8997882 DOI: 10.3390/cancers14071809] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2022] [Revised: 03/30/2022] [Accepted: 03/30/2022] [Indexed: 12/15/2022] Open
Abstract
Simple Summary The ocular fundus contains molecules that emit fluorescence when excited with light of an appropriate wavelength. Fundus autofluorescence imaging is based on the in vivo detection of intrinsic fluorescence and results in topographic autofluorescence mapping of the ocular fundus. In contrast to fluorescence angiography, where the fluorescing agents need to be administered intravenously, autofluorescence imaging is a non-invasive technique. Even though choroidal melanomas do not contain significant autofluorescent molecules themselves, they may lead to secondary alterations in neighbouring tissues with an impact on the autofluorescence signal recording. Fundus autofluorescence imaging in the context of choroidal melanoma is helpful for differential diagnosis and for monitoring variations over time in affected patients before and after treatment. Abstract Choroidal melanocytic lesions require reliable and precise clinical examination and diagnosis to differentiate benign choroidal nevi from choroidal melanoma, as the latter may become life-threatening through metastatic disease. To come to an accurate diagnosis, as well as for monitoring, and to assess the efficacy of therapy, various imaging modalities may be used, one of which is non-invasive fundus autofluorescence (FAF) imaging using novel high-resolution digital imaging technology. FAF imaging is based on the visualization of intrinsic fluorophores in the ocular fundus. Lipofuscin and melanolipofuscin within the postmitotic retinal pigment epithelium (RPE) cells represent the major fluorophores that contribute to the FAF signal. In addition, the presence or loss of absorbing molecular constituents may have an impact on the FAF signal. A choroidal melanoma can cause secondary retinal and RPE alterations that affect the FAF signal (e.g., occurrence of orange pigment). Therefore, FAF imaging supports multimodal imaging and gives additional information over and above conventional imaging modalities regarding retinal metabolism and RPE health status. This article summarises the features of FAF imaging and the role of FAF imaging in the context of choroidal melanoma, both before and following therapeutic intervention.
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Affiliation(s)
- Almut Bindewald-Wittich
- Augenkompetenz Zentren Heidenheim, 89518 Heidenheim, Germany
- Augenkompetenz Zentren Bopfingen, 73441 Bopfingen, Germany
- Department of Ophthalmology, University of Bonn, 53127 Bonn, Germany; (F.G.H.); (T.A.)
- Correspondence:
| | - Frank G. Holz
- Department of Ophthalmology, University of Bonn, 53127 Bonn, Germany; (F.G.H.); (T.A.)
| | - Thomas Ach
- Department of Ophthalmology, University of Bonn, 53127 Bonn, Germany; (F.G.H.); (T.A.)
| | - Miltiadis Fiorentzis
- Department of Ophthalmology, University Hospital Essen, University of Duisburg-Essen, 45147 Essen, Germany; (M.F.); (N.E.B.)
| | - Nikolaos E. Bechrakis
- Department of Ophthalmology, University Hospital Essen, University of Duisburg-Essen, 45147 Essen, Germany; (M.F.); (N.E.B.)
| | - Gregor D. Willerding
- Department of Ophthalmology, DRK Kliniken Berlin Westend, 14050 Berlin, Germany;
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9
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Liu W, Luo Y, Dai J, Yang L, Huang L, Wang R, Chen W, Huang Y, Sun S, Cao J, Wu J, Han M, Fan J, He M, Qian K, Fan X, Jia R. Monitoring Retinoblastoma by Machine Learning of Aqueous Humor Metabolic Fingerprinting. SMALL METHODS 2022; 6:e2101220. [PMID: 35041286 DOI: 10.1002/smtd.202101220] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Revised: 11/06/2021] [Indexed: 06/14/2023]
Abstract
The most common intraocular pediatric malignancy, retinoblastoma (RB), accounts for ≈10% of cancer in children. Efficient monitoring can enhance living quality of patients and 5-year survival ratio of RB up to 95%. However, RB monitoring is still insufficient in regions with limited resources and the mortality may even reach over 70% in such areas. Here, an RB monitoring platform by machine learning of aqueous humor metabolic fingerprinting (AH-MF) is developed, using nanoparticle enhanced laser desorption/ionization mass spectrometry (LDI MS). The direct AH-MF of RB free of sample pre-treatment is recorded, with both high reproducibility (coefficient of variation < 10%) and sensitivity (low to 0.3 pmol) at sample volume down to 40 nL only. Further, early and advanced RB patients with area-under-the-curve over 0.9 and accuracy over 80% are differentiated, through machine learning of AH-MF. Finally, a metabolic biomarker panel of 7 metabolites through accurate MS and tandem MS (MS/MS) with pathway analysis to monitor RB is identified. This work can contribute to advanced metabolic analysis of eye diseases including but not limited to RB and screening of new potential metabolic targets toward therapeutic intervention.
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Affiliation(s)
- Wanshan Liu
- State Key Laboratory for Oncogenes and Related Genes, School of Biomedical Engineering and Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
- Division of Cardiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, P. R. China
| | - Yingxiu Luo
- Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, 200011, P. R. China
- Department of Ophthalmology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, P. R. China
| | - Jingjing Dai
- Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, 200011, P. R. China
- Department of Ophthalmology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, P. R. China
| | - Ludi Yang
- Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, 200011, P. R. China
- Department of Ophthalmology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, P. R. China
| | - Lin Huang
- State Key Laboratory for Oncogenes and Related Genes, School of Biomedical Engineering and Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
- Division of Cardiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, P. R. China
| | - Ruimin Wang
- State Key Laboratory for Oncogenes and Related Genes, School of Biomedical Engineering and Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
- Division of Cardiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, P. R. China
| | - Wei Chen
- State Key Laboratory for Oncogenes and Related Genes, School of Biomedical Engineering and Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
- Division of Cardiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, P. R. China
| | - Yida Huang
- State Key Laboratory for Oncogenes and Related Genes, School of Biomedical Engineering and Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
- Division of Cardiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, P. R. China
| | - Shiyu Sun
- State Key Laboratory for Oncogenes and Related Genes, School of Biomedical Engineering and Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
- Division of Cardiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, P. R. China
| | - Jing Cao
- State Key Laboratory for Oncogenes and Related Genes, School of Biomedical Engineering and Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
- Division of Cardiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, P. R. China
| | - Jiao Wu
- State Key Laboratory for Oncogenes and Related Genes, School of Biomedical Engineering and Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
- Division of Cardiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, P. R. China
| | - Minglei Han
- Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, 200011, P. R. China
- Department of Ophthalmology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, P. R. China
| | - Jiayan Fan
- Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, 200011, P. R. China
- Department of Ophthalmology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, P. R. China
| | - Mengjia He
- Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, 200011, P. R. China
- Department of Ophthalmology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, P. R. China
| | - Kun Qian
- State Key Laboratory for Oncogenes and Related Genes, School of Biomedical Engineering and Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
- Division of Cardiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, P. R. China
| | - Xianqun Fan
- Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, 200011, P. R. China
- Department of Ophthalmology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, P. R. China
| | - Renbing Jia
- Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, 200011, P. R. China
- Department of Ophthalmology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, P. R. China
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10
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Prognostic Biomarkers in Uveal Melanoma: The Status Quo, Recent Advances and Future Directions. Cancers (Basel) 2021; 14:cancers14010096. [PMID: 35008260 PMCID: PMC8749988 DOI: 10.3390/cancers14010096] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 12/15/2021] [Accepted: 12/23/2021] [Indexed: 01/18/2023] Open
Abstract
Simple Summary Although rare, uveal melanoma (UM) is the most common cancer that develops inside adult eyes. The prognosis is poor, since 50% of patients will develop lethal metastases in the first decade, especially to the liver. Once metastases are detected, life expectancy is limited, given that the available treatments are mostly unsuccessful. Thus, there is a need to find methods that can accurately predict UM prognosis and also effective therapeutic strategies to treat this cancer. In this manuscript, we initially compile the current knowledge on epidemiological, clinical, pathological and molecular features of UM. Then, we cover the most relevant prognostic factors currently used for the evaluation and follow-up of UM patients. Afterwards, we highlight emerging molecular markers in UM published over the last three years. Finally, we discuss the problems preventing meaningful advances in the treatment and prognostication of UM patients, as well as forecast new roadblocks and paths of UM-related research. Abstract Uveal melanoma (UM) is the most common malignant intraocular tumour in the adult population. It is a rare cancer with an incidence of nearly five cases per million inhabitants per year, which develops from the uncontrolled proliferation of melanocytes in the choroid (≈90%), ciliary body (≈6%) or iris (≈4%). Patients initially present either with symptoms like blurred vision or photopsia, or without symptoms, with the tumour being detected in routine eye exams. Over the course of the disease, metastases, which are initially dormant, develop in nearly 50% of patients, preferentially in the liver. Despite decades of intensive research, the only approach proven to mildly control disease spread are early treatments directed to ablate liver metastases, such as surgical excision or chemoembolization. However, most patients have a limited life expectancy once metastases are detected, since there are limited therapeutic approaches for the metastatic disease, including immunotherapy, which unlike in cutaneous melanoma, has been mostly ineffective for UM patients. Therefore, in order to offer the best care possible to these patients, there is an urgent need to find robust models that can accurately predict the prognosis of UM, as well as therapeutic strategies that effectively block and/or limit the spread of the metastatic disease. Here, we initially summarized the current knowledge about UM by compiling the most relevant epidemiological, clinical, pathological and molecular data. Then, we revisited the most important prognostic factors currently used for the evaluation and follow-up of primary UM cases. Afterwards, we addressed emerging prognostic biomarkers in UM, by comprehensively reviewing gene signatures, immunohistochemistry-based markers and proteomic markers resulting from research studies conducted over the past three years. Finally, we discussed the current hurdles in the field and anticipated the future challenges and novel avenues of research in UM.
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11
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Francis JH, Canestraro J, Brannon AR, Barker CA, Berger M, Shoushtari AN, Abramson DH. Association of Plasma Circulating Tumor DNA With Diagnosis of Metastatic Uveal Melanoma. JAMA Ophthalmol 2021; 139:1244-1245. [PMID: 34529013 DOI: 10.1001/jamaophthalmol.2021.3708] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Affiliation(s)
- Jasmine H Francis
- Ophthalmic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, New York.,Weill-Cornell Medical Center, New York, New York
| | - Julia Canestraro
- Ophthalmic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, New York
| | - A Rose Brannon
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Christopher A Barker
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Michael Berger
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Alexander N Shoushtari
- Weill-Cornell Medical Center, New York, New York.,Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - David H Abramson
- Ophthalmic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, New York.,Weill-Cornell Medical Center, New York, New York
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12
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Geng B, Zhu Y, Yuan Y, Bai J, Dou Z, Sui A, Luo W. Artesunate Suppresses Choroidal Melanoma Vasculogenic Mimicry Formation and Angiogenesis via the Wnt/CaMKII Signaling Axis. Front Oncol 2021; 11:714646. [PMID: 34476217 PMCID: PMC8406848 DOI: 10.3389/fonc.2021.714646] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Accepted: 07/26/2021] [Indexed: 01/14/2023] Open
Abstract
Angiogenesis and vasculogenic mimicry (VM) are considered to be the main processes to ensure tumor blood supply during the proliferation and metastasis of choroidal melanoma (CM). The traditional antimalarial drug artesunate (ART) has some potential anti-CM effects; however, the underlying mechanisms remain unclarified. Recent studies have shown that the Wnt5a/calmodulin-dependent kinase II (CaMKII) signaling pathway has a close correlation with angiogenesis and VM formation. This study demonstrated that ART eliminated VM formation by inhibiting the aforementioned signaling pathway in CM cells. The microvessel sprouting of the mouse aortic rings and the microvessel density of chicken chorioallantoic membrane (CAM) decreased significantly after ART treatment. VM formation assay and periodic acid schiff (PAS) staining revealed that ART inhibited VM formation in CM. Moreover, ART downregulated the expression levels of the angiogenesis-related proteins vascular endothelial growth factor receptor (VEGFR) 2, platelet-derived growth factor receptor (PDGFR) and vascular endothelial growth factor (VEGF) A, and VM-related proteins ephrin type-A receptor (EphA) 2 and vascular endothelial (VE)-cadherin. The expression of hypoxia-inducible factor (HIF)-1α, Wnt5a, and phosphorylated CaMKII was also downregulated after ART treatment. In addition, we further demonstrated that ART inhibited the proliferation, migration, and invasion of OCM-1 and C918 cells. Collectively, our results suggested that ART inhibited angiogenesis and VM formation of choroidal melanoma likely by regulating the Wnt5a/CaMKII signaling pathway. These findings further supported the feasibility of ART for cancer therapy.
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Affiliation(s)
- Bochao Geng
- Department of Ophthalmology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Yuanzhang Zhu
- Department of Ophthalmology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Yingying Yuan
- Department of Physiology and Pathophysiology, School of Basic Medicine, Qingdao University, Qingdao, China
| | - Jingyi Bai
- Department of Ophthalmology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Zhizhi Dou
- Department of Ophthalmology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Aihua Sui
- Central Laboratory, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Wenjuan Luo
- Department of Ophthalmology, The Affiliated Hospital of Qingdao University, Qingdao, China
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13
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Proteomics of Primary Uveal Melanoma: Insights into Metastasis and Protein Biomarkers. Cancers (Basel) 2021; 13:cancers13143520. [PMID: 34298739 PMCID: PMC8307952 DOI: 10.3390/cancers13143520] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Revised: 06/28/2021] [Accepted: 07/09/2021] [Indexed: 01/03/2023] Open
Abstract
Uveal melanoma metastases are lethal and remain incurable. A quantitative proteomic analysis of 53 metastasizing and 47 non-metastasizing primary uveal melanoma (pUM) was pursued for insights into UM metastasis and protein biomarkers. The metastatic status of the pUM specimens was defined based on clinical data, survival histories, prognostic analyses, and liver histopathology. LC MS/MS iTRAQ technology, the Mascot search engine, and the UniProt human database were used to identify and quantify pUM proteins relative to the normal choroid excised from UM donor eyes. The determined proteomes of all 100 tumors were very similar, encompassing a total of 3935 pUM proteins. Proteins differentially expressed (DE) between metastasizing and non-metastasizing pUM (n = 402) were employed in bioinformatic analyses that predicted significant differences in the immune system between metastasizing and non-metastasizing pUM. The immune proteins (n = 778) identified in this study support the immune-suppressive nature and low abundance of immune checkpoint regulators in pUM, and suggest CDH1, HLA-DPA1, and several DE immune kinases and phosphatases as possible candidates for immune therapy checkpoint blockade. Prediction modeling identified 32 proteins capable of predicting metastasizing versus non-metastasizing pUM with 93% discriminatory accuracy, supporting the potential for protein-based prognostic methods for detecting UM metastasis.
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14
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Strub T, Martel A, Nahon-Esteve S, Baillif S, Ballotti R, Bertolotto C. Translation of single-cell transcriptomic analysis of uveal melanomas to clinical oncology. Prog Retin Eye Res 2021; 85:100968. [PMID: 33852963 DOI: 10.1016/j.preteyeres.2021.100968] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Revised: 03/22/2021] [Accepted: 03/24/2021] [Indexed: 12/14/2022]
Abstract
Uveal melanoma (UM) is an aggressive and deadly neoplasm. In recent decades, great efforts have been made to obtain a more comprehensive understanding of genetics, genomics and molecular changes in UM, enabling the identification of key cellular processes and signalling pathways. Still, there is no effective treatment for the metastatic disease. Intratumoural heterogeneity (ITH) is thought to be one of the leading determinants of metastasis, therapeutic resistance and recurrence. Crucially, tumours are complex ecosystems, where cancer cells, and diverse cell types from their microenvironment engage in dynamic spatiotemporal crosstalk that allows cancer progression, adaptation and evolution. This highlights the urgent need to gain insight into ITH in UM and its intersection with the microenvironment to overcome treatment failure. Here we provide an overview of the studies and technologies to study ITH in human UMs and tumour micro-environmental composition. We discuss how to incorporate ITH into clinical consideration for the purpose of advocating for new clinical management. We focus on the application of single-cell transcriptomic analysis and propose that understanding the driving forces and functional consequences of the observed tumour heterogeneity holds promise for changing the treatment paradigm of metastatic UMs, surmounting resistance and improving patient prognosis.
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Affiliation(s)
- Thomas Strub
- University Côte d'Azur, France; Inserm, Biology and Pathologies of Melanocytes, Team1, Equipe Labellisée Ligue 2020 and Equipe Labellisée ARC 2019, Centre Méditerranéen de Médecine Moléculaire, Nice, France
| | - Arnaud Martel
- University Côte d'Azur, France; Centre Hospitalier Universitaire de Nice, Department of Ophthalmology, Nice, France
| | - Sacha Nahon-Esteve
- University Côte d'Azur, France; Centre Hospitalier Universitaire de Nice, Department of Ophthalmology, Nice, France
| | - Stéphanie Baillif
- University Côte d'Azur, France; Centre Hospitalier Universitaire de Nice, Department of Ophthalmology, Nice, France
| | - Robert Ballotti
- University Côte d'Azur, France; Inserm, Biology and Pathologies of Melanocytes, Team1, Equipe Labellisée Ligue 2020 and Equipe Labellisée ARC 2019, Centre Méditerranéen de Médecine Moléculaire, Nice, France
| | - Corine Bertolotto
- University Côte d'Azur, France; Inserm, Biology and Pathologies of Melanocytes, Team1, Equipe Labellisée Ligue 2020 and Equipe Labellisée ARC 2019, Centre Méditerranéen de Médecine Moléculaire, Nice, France.
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15
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Park JJ, Diefenbach RJ, Byrne N, Long GV, Scolyer RA, Gray ES, Carlino MS, Rizos H. Circulating Tumor DNA Reflects Uveal Melanoma Responses to Protein Kinase C Inhibition. Cancers (Basel) 2021; 13:cancers13071740. [PMID: 33917514 PMCID: PMC8038771 DOI: 10.3390/cancers13071740] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Revised: 03/23/2021] [Accepted: 04/03/2021] [Indexed: 01/07/2023] Open
Abstract
Simple Summary Uveal melanoma (UM) is a rare cancer, with no effective standard systemic therapy in the metastatic setting. Over 95% of UM harbor activating driver mutations that can be detected in the circulation. In this study, circulating tumor DNA (ctDNA) was measured in 17 metastatic UM patients treated with protein kinase C inhibitor (PKCi)-based therapy. ctDNA predicted response to targeted therapy and increasing UM ctDNA preceded radiological progression with a lead-time of 4–10 weeks. Next generation sequencing (NGS) of ctDNA also identified prognostic and treatment resistance mutations. Longitudinal ctDNA monitoring is useful for monitoring disease response and progression in metastatic UM and is a valuable addition to adaptive clinical trial design. Abstract The prognosis for patients with UM is poor, and recent clinical trials have failed to prolong overall survival (OS) of these patients. Over 95% of UM harbor activating driver mutations, and this allows for the investigation of ctDNA. In this study, we investigated the value of ctDNA for adaptive clinical trial design in metastatic UM. Longitudinal plasma samples were analyzed for ctDNA in 17 metastatic UM patients treated with PKCi-based therapy in a phase 1 clinical trial setting. Plasma ctDNA was assessed using digital droplet PCR (ddPCR) and a custom melanoma gene panel for targeted next generation sequencing (NGS). Baseline ctDNA strongly correlated with baseline lactate dehydrogenase (LDH) (p < 0.001) and baseline disease burden (p = 0.002). Early during treatment (EDT) ctDNA accurately predicted patients with clinical benefit to PKCi using receiver operator characteristic (ROC) curves (AUC 0.84, [95% confidence interval 0.65–1.0, p = 0.026]). Longitudinal ctDNA assessment was informative for establishing clinical benefit and detecting disease progression with 7/8 (88%) of patients showing a rise in ctDNA and targeted NGS of ctDNA revealed putative resistance mechanisms prior to radiological progression. The inclusion of longitudinal ctDNA monitoring in metastatic UM can advance adaptive clinical trial design.
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Affiliation(s)
- John J. Park
- Department of Biomedical Sciences, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW 2109, Australia; (J.J.P.); (R.J.D.)
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW 2065, Australia; (G.V.L.); (R.A.S.); (M.S.C.)
- Department of Medical Oncology, Westmead and Blacktown Hospitals, Sydney, NSW 2145, Australia;
| | - Russell J. Diefenbach
- Department of Biomedical Sciences, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW 2109, Australia; (J.J.P.); (R.J.D.)
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW 2065, Australia; (G.V.L.); (R.A.S.); (M.S.C.)
| | - Natalie Byrne
- Department of Medical Oncology, Westmead and Blacktown Hospitals, Sydney, NSW 2145, Australia;
| | - Georgina V. Long
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW 2065, Australia; (G.V.L.); (R.A.S.); (M.S.C.)
- Department of Medical Oncology, Royal North Shore Hospital and Mater Hospitals, Sydney, NSW 2065, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2006, Australia
| | - Richard A. Scolyer
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW 2065, Australia; (G.V.L.); (R.A.S.); (M.S.C.)
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2006, Australia
- Tissue Pathology and Diagnostic Oncology, Royal Prince Alfred Hospital and NSW Health Pathology, Sydney, NSW 2050, Australia
| | - Elin S. Gray
- Centre for Precision Health, Edith Cowan University, Joondalup, WA 6027, Australia;
| | - Matteo S. Carlino
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW 2065, Australia; (G.V.L.); (R.A.S.); (M.S.C.)
- Department of Medical Oncology, Westmead and Blacktown Hospitals, Sydney, NSW 2145, Australia;
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2006, Australia
| | - Helen Rizos
- Department of Biomedical Sciences, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW 2109, Australia; (J.J.P.); (R.J.D.)
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW 2065, Australia; (G.V.L.); (R.A.S.); (M.S.C.)
- Correspondence: ; Tel.: +61-2-9850-2762
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16
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Menicacci C, Al-Jamal RT, De Francesco S, Barchitta M, Girolamo M, Di Maggio A, Hadjistilianou T. Very late orbital recurrence of choroidal melanoma four decades post enucleation. Eur J Ophthalmol 2021; 32:NP88-NP93. [PMID: 33706580 DOI: 10.1177/11206721211001266] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Orbital recurrence of malignant choroidal melanoma is quite uncommon, occurring in about 3% of patients undergoing enucleation for large tumors. Orbital recurrences after more than 10 years from enucleation are even rarer. In literature, only few reports described orbital recurrence that occurred between 10 and 40 years after primary diagnosis. Herein we report a very late choroidal melanoma recurrence, 40 years post enucleation, of a 52 year-old female who had undergone left enucleation at the age of 12. She presented to our clinic for consultation in 2017, complaining of difficulty to contain the prosthesis, as well as, presence of small pigmented palpable nodules inferiorly in her anophthalmic socket. The patient was not aware of the medical condition which had lead to the enucleation. We requested her medical reports and detailed history through her family. We realized after reviewing her charts 40 years back, that her enucleation was due to malignant choroidal melanoma (CMM). Full screening was performed. After magnetic resonance imaging (MRI), that showed the presence of nodular masses in the anophthalmic socket, an excisional biopsy was performed. Histopathology confirmed the diagnosis of CMM (epithelioid and spindle cell type), supporting the hypothesis that residual melanoma cells may remain clinically dormant for long periods, even for decades. A literature review was performed in order to review similar cases and to understand and discuss multiple factors, which may explain this extremely delayed recurrence. To the best of our knowledge, this is the third case to be reported in the literature.
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Affiliation(s)
- Cristina Menicacci
- Unit of Ophthalmology, Department of Medicine, Surgery and Neuroscience, Azienda Ospedaliera Universitaria Senese, Siena, Italy
| | - Rana'a T Al-Jamal
- Ocular Oncology Service, Helsinki University Central Hospital, Helsinki, Finland
| | - Sonia De Francesco
- Unit of Ophthalmology, Department of Medicine, Surgery and Neuroscience, Azienda Ospedaliera Universitaria Senese, Siena, Italy
| | - Matteo Barchitta
- Unit of Ophthalmology, Department of Medicine, Surgery and Neuroscience, Azienda Ospedaliera Universitaria Senese, Siena, Italy
| | - Matteo Girolamo
- Unit of Ophthalmology, Department of Medicine, Surgery and Neuroscience, Azienda Ospedaliera Universitaria Senese, Siena, Italy
| | - Alessandro Di Maggio
- Unit of Ophthalmology, Department of Medicine, Surgery and Neuroscience, Azienda Ospedaliera Universitaria Senese, Siena, Italy
| | - Theodora Hadjistilianou
- Unit of Ophthalmology, Department of Medicine, Surgery and Neuroscience, Azienda Ospedaliera Universitaria Senese, Siena, Italy
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