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Anestopoulos I, Kyriakou S, Tragkola V, Paraskevaidis I, Tzika E, Mitsiogianni M, Deligiorgi MV, Petrakis G, Trafalis DT, Botaitis S, Giatromanolaki A, Koukourakis MI, Franco R, Pappa A, Panayiotidis MI. Targeting the epigenome in malignant melanoma: Facts, challenges and therapeutic promises. Pharmacol Ther 2022; 240:108301. [PMID: 36283453 DOI: 10.1016/j.pharmthera.2022.108301] [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: 06/06/2022] [Revised: 10/03/2022] [Accepted: 10/19/2022] [Indexed: 11/16/2022]
Abstract
Malignant melanoma is the most lethal type of skin cancer with high rates of mortality. Although current treatment options provide a short-clinical benefit, acquired-drug resistance highlights the low 5-year survival rate among patients with advanced stage of the disease. In parallel, the involvement of an aberrant epigenetic landscape, (e.g., alterations in DNA methylation patterns, histone modifications marks and expression of non-coding RNAs), in addition to the genetic background, has been also associated with the onset and progression of melanoma. In this review article, we report on current therapeutic options in melanoma treatment with a focus on distinct epigenetic alterations and how their reversal, by specific drug compounds, can restore a normal phenotype. In particular, we concentrate on how single and/or combinatorial therapeutic approaches have utilized epigenetic drug compounds in being effective against malignant melanoma. Finally, the role of deregulated epigenetic mechanisms in promoting drug resistance to targeted therapies and immune checkpoint inhibitors is presented leading to the development of newly synthesized and/or improved drug compounds capable of targeting the epigenome of malignant melanoma.
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Affiliation(s)
- I Anestopoulos
- Department of Cancer Genetics, Therapeutics & Ultrastructural Pathology, The Cyprus Institute of Neurology & Genetics, Nicosia, Cyprus
| | - S Kyriakou
- Department of Cancer Genetics, Therapeutics & Ultrastructural Pathology, The Cyprus Institute of Neurology & Genetics, Nicosia, Cyprus
| | - V Tragkola
- Department of Cancer Genetics, Therapeutics & Ultrastructural Pathology, The Cyprus Institute of Neurology & Genetics, Nicosia, Cyprus
| | - I Paraskevaidis
- Department of Cancer Genetics, Therapeutics & Ultrastructural Pathology, The Cyprus Institute of Neurology & Genetics, Nicosia, Cyprus
| | - E Tzika
- Department of Cancer Genetics, Therapeutics & Ultrastructural Pathology, The Cyprus Institute of Neurology & Genetics, Nicosia, Cyprus
| | | | - M V Deligiorgi
- Laboratory of Pharmacology, Medical School, National & Kapodistrian University of Athens, Athens, Greece
| | - G Petrakis
- Saint George Hospital, Chania, Crete, Greece
| | - D T Trafalis
- Laboratory of Pharmacology, Medical School, National & Kapodistrian University of Athens, Athens, Greece
| | - S Botaitis
- Department of Surgery, Alexandroupolis University Hospital, Democritus University of Thrace School of Medicine, Alexandroupolis, Greece
| | - A Giatromanolaki
- Department of Pathology, Democritus University of Thrace, University General Hospital of Alexandroupolis, Alexandroupolis, Greece
| | - M I Koukourakis
- Radiotherapy / Oncology, Radiobiology & Radiopathology Unit, Department of Medicine, School of Health Sciences, Democritus University of Thrace, Alexandroupolis, Greece
| | - R Franco
- Redox Biology Centre, University of Nebraska-Lincoln, Lincoln, NE, USA; School of Veterinary Medicine & Biomedical Sciences, University of Nebraska-Lincoln, Lincoln, NE, USA
| | - A Pappa
- Department of Molecular Biology & Genetics, Democritus University of Thrace, Alexandroupolis, Greece
| | - M I Panayiotidis
- Department of Cancer Genetics, Therapeutics & Ultrastructural Pathology, The Cyprus Institute of Neurology & Genetics, Nicosia, Cyprus.
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Zhang C, Zhao N, Zhang X, Xiao J, Li J, Lv D, Zhou W, Li Y, Xu J, Li X. SurvivalMeth: a web server to investigate the effect of DNA methylation-related functional elements on prognosis. Brief Bioinform 2020; 22:5890509. [PMID: 32778890 DOI: 10.1093/bib/bbaa162] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Revised: 06/04/2020] [Accepted: 06/27/2020] [Indexed: 12/18/2022] Open
Abstract
Aberrant DNA methylation is a fundamental characterization of epigenetics for carcinogenesis. Abnormality of DNA methylation-related functional elements (DMFEs) may lead to dysfunction of regulatory genes in the progression of cancers, contributing to prognosis of many cancers. There is an urgent need to construct a tool to comprehensively assess the impact of DMFEs on prognosis. Therefore, we developed SurvivalMeth (http://bio-bigdata.hrbmu.edu.cn/survivalmeth) to explore the prognosis-related DMFEs, which documented many kinds of DMFEs, including 309,465 CpG island-related elements, 104,748 transcript-related elements, 77,634 repeat elements, as well as cell-type specific 1,689,653 super enhancers (SE) and 1,304,902 CTCF binding regions for analysis. SurvivalMeth is a convenient tool which collected DNA methylation profiles of 36 cancers and allowed users to query their genes of interest in different datasets for prognosis. Furthermore, SurvivalMeth not only integrated different combinations, including single DMFE, multiple DMFEs, SEs and clinical data, to perform survival analysis on preupload data but also allowed for uploading customized DNA methylation profile of DMFEs from various diseases to analyze. SurvivalMeth provided a comprehensive resource and automated analysis for prognostic DMFEs, including DMFE methylation level, correlation analysis, clinical analysis, differential analysis, DMFE annotation, survival-related detailed result and visualization of survival analysis. In summary, we believe that SurvivalMeth will facilitate prognostic research of DMFEs in diverse cancers.
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Affiliation(s)
- Chunlong Zhang
- College of Bioinformatics Science and Technology at Harbin Medical University
| | - Ning Zhao
- School of Life Sciences and Technology at Harbin Institute of Technology
| | - Xue Zhang
- College of Bioinformatics Science and Technology at Harbin Medical University
| | - Jun Xiao
- College of Bioinformatics Science and Technology at Harbin Medical University
| | - Junyi Li
- College of Bioinformatics Science and Technology at Harbin Medical University
| | - Dezhong Lv
- College of Bioinformatics Science and Technology at Harbin Medical University
| | - Weiwei Zhou
- College of Bioinformatics Science and Technology at Harbin Medical University
| | - Yongsheng Li
- College of Bioinformatics Science and Technology at Harbin Medical University
- Key Laboratory of Tropical Translational Medicine of Ministry of Education, Hainan Medical University, Haikou, China
| | - Juan Xu
- College of Bioinformatics Science and Technology at Harbin Medical University
- Key Laboratory of Tropical Translational Medicine of Ministry of Education, Hainan Medical University, Haikou, China
| | - Xia Li
- College of Bioinformatics Science and Technology at Harbin Medical University
- Key Laboratory of Tropical Translational Medicine of Ministry of Education, Hainan Medical University, Haikou, China
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