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Tønder JE, Bønnelykke-Behrndtz ML, Laurberg T, Røssell EL, Sollie M. Melanoma risk, tumour stage, and melanoma-specific mortality in individuals with diabetes: a systematic review and meta-analysis. BMC Cancer 2024; 24:812. [PMID: 38972968 PMCID: PMC11229239 DOI: 10.1186/s12885-024-12598-8] [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: 02/14/2024] [Accepted: 07/03/2024] [Indexed: 07/09/2024] Open
Abstract
BACKGROUND Cancer has become the leading diabetes-related cause of death in high-income countries, and more knowledge is needed to clarify the impact of diabetes on site-specific cancers. The purpose of this study is to assess the association between diabetes and malignant melanoma by conducting a comprehensive systematic review and meta-analysis. METHODS Using predefined eligibility criteria, PubMed, The Cochrane Library and Web of Science were systematically searched up to February 22, 2023. Exposure was defined as diabetes or type 2 diabetes and the outcomes were defined as melanoma incidence, melanoma stage or melanoma-specific mortality. The identified articles were evaluated by two independent reviewers and quality assessment was conducted using the Newcastle-Ottawa Scale for observational studies. Meta-analyses were conducted using RevMan 5.4.1 on melanoma risk using adjusted risk estimates and on melanoma stage using a dichotomous model. RESULTS The literature search revealed 20 studies in total eligible for inclusion, 14 for the analysis of melanoma risk, 3 for melanoma thickness and ulceration, and 4 for melanoma-specific survival. According to the meta-analyses, diabetes did not impact the risk of developing melanoma (RR:1.05, 95%CI:0.99-1.12, p = 0.10). However, type 2 diabetes was associated with more advanced melanoma stages at the time of diagnosis (Breslow-thickness > 1 mm: RR 1.35, 95%CI: 1.22-1.49, p = < 0.001) and presence of ulceration (RR 1.30, 95%CI: 1.00-1.68, p = 0.05). A meta-analysis on the association between diabetes and melanoma-specific mortality was not feasible due to diverse study designs. CONCLUSION Our meta-analysis found no association between diabetes and the risk of developing melanoma, but diabetes was associated with increased tumour thickness and the presence of ulceration at the time of diagnosis. Further research is warranted to explore the association between diabetes melanoma stage and prognosis. TRIAL REGISTRATION PROSPERO ID CRD42023394187.
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Affiliation(s)
- Jens Ejrnæs Tønder
- Department of Plastic and Breast Surgery, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, Aarhus N, 8200, Denmark.
- Steno Diabetes Center Aarhus, Aarhus University Hospital, Aarhus, Denmark.
| | | | - Tinne Laurberg
- Steno Diabetes Center Aarhus, Aarhus University Hospital, Aarhus, Denmark
- Department of Pathology, Aarhus University Hospital, Aarhus, Denmark
| | - Eeva-Liisa Røssell
- Steno Diabetes Center Aarhus, Aarhus University Hospital, Aarhus, Denmark
- Department of Public Health, Aarhus University, Aarhus, Denmark
| | - Martin Sollie
- Department of Plastic and Breast Surgery, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, Aarhus N, 8200, Denmark
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2
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Al-Adwan S, Alqaisi KM, Al Katheri G. Nevus Variations in the Jordanian Population: Effects of Age, Medical Conditions, Environment, Congenital, Inherited, and Genetic Factors. Clin Cosmet Investig Dermatol 2024; 17:17-29. [PMID: 38193026 PMCID: PMC10773247 DOI: 10.2147/ccid.s433447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 12/07/2023] [Indexed: 01/10/2024]
Abstract
Background Nevi is a common benign proliferation of melanin-producing cells. Many triggers can influence their transformation into either benign or malignant, thus it is important to understand these triggers and their incidence across different populations to take adequate prevention. Here, we aim to examine the different etiologies of nevi changes across the Jordanian population. Methods We carried out a cross-sectional observational study focusing on patients seeking dermatological consultation for normal nevi or nevi with minimal changes. Demographic and clinical variables were collected from the patient's case history. Nevi's characteristics were also recorded. A skilled dermatologist assessed nevi morphology and changes using the ABCDE criteria for potential signs of melanoma. Nevi biopsy samples were fixed in formalin and sent for histopathological analysis and were stained with hematoxylin and eosin (H&E). Results A total of 231 patients were enrolled, with a majority of females (85%) and a median age of 37. Past medical history was positive in 17% of the samples, with hypertension, endocrine diseases, and diabetes mellitus being the most common. The majority of patients (61%) had fewer than three nevi. Changes in nevus size, configuration, and color were reported in 10% of patients, with multiple changes observed in 36% of patients. Microscopic analysis revealed polypoidal intradermal melanocytic blue nevi as the most common histopathological finding (84%). Positive medical history and the number of nevi were significantly associated with nevi changes. Conclusion Our results report that the number of nevi, as well as medical history, is linked to changes in their appearance. Additionally, we provide a detailed account of the various types of observed changes and their occurrence rates.
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Affiliation(s)
- Safwan Al-Adwan
- Department of Cosmetic Science, Faculty of Allied Medical Sciences, Al-Ahliyya Amman University, Amman, 19328, Jordan
| | - Khalid M Alqaisi
- Department of Cosmetic Science, Faculty of Allied Medical Sciences, Al-Ahliyya Amman University, Amman, 19328, Jordan
- Department of Medical Laboratory Sciences, Faculty of Allied Medical Sciences, Al-Ahliyya Amman University, Amman, 19328, Jordan
| | - Ghassan Al Katheri
- Department of Pathology, Humboldt General Hospital, Winnemucca, Nevada, 89446, USA
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3
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Liu J, Hu X, Xin W, Wang X. Exosomal Non-coding RNAs: A New Approach to Melanoma Diagnosis and Therapeutic Strategy. Curr Med Chem 2024; 31:6084-6109. [PMID: 37877505 DOI: 10.2174/0109298673267553231017053329] [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: 06/15/2023] [Revised: 09/03/2023] [Accepted: 09/22/2023] [Indexed: 10/26/2023]
Abstract
Malignant melanoma (MM) is a highly aggressive cancer with a poor prognosis. Currently, although a variety of therapies are available for treating melanoma, MM is still a serious threat to the patient's life due to numerous factors, such as the recurrence of tumors, the emergence of drug resistance, and the lack of effective therapeutic agents. Exosomes are biologically active lipid-bilayer extracellular vesicles secreted by diverse cell types that mediate intercellular signal communication. Studies found that exosomes are involved in cancer by carrying multiple bioactive molecules, including non-- coding RNAs (ncRNAs). The ncRNAs have been reported to play an important role in regulating proliferation, angiogenesis, immune regulation, invasion, metastasis, and treatment resistance of tumors. However, the functional role of exosomal ncRNAs in MM remains unknown. Therefore, this review summarizes the current state of melanoma diagnosis, treatment, and the application of exosomal ncRNAs in MM patients, which may provide new insights into the mechanisms involved in melanoma progression and serve as biomarkers for diagnosis and therapeutic targets.
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Affiliation(s)
- Jie Liu
- Department of Dermatology, Skin Research Institute of Peking University Shenzhen Hospital, Peking University Shenzhen Hospital, Shenzhen 518036, Guangdong Province, China
| | - Xiaoping Hu
- Department of Dermatology, Skin Research Institute of Peking University Shenzhen Hospital, Peking University Shenzhen Hospital, Shenzhen 518036, Guangdong Province, China
| | - Wenqiang Xin
- Department of Neurology, University Medical Center Göttingen, Göttingen 37075, Germany
- Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, China, 300052
| | - Xianbin Wang
- Department of Emergency Medicine, The Second Affiliated Hospital of Baotou Medical College, Baotou 014030, China
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4
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Wong CK, Dite GS, Spaeth E, Murphy NM, Allman R. Melanoma risk prediction based on a polygenic risk score and clinical risk factors. Melanoma Res 2023; 33:293-299. [PMID: 37096571 PMCID: PMC10309112 DOI: 10.1097/cmr.0000000000000896] [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: 12/28/2022] [Accepted: 03/30/2023] [Indexed: 04/26/2023]
Abstract
Melanoma is one of the most commonly diagnosed cancers in the Western world: third in Australia, fifth in the USA and sixth in the European Union. Predicting an individual's personal risk of developing melanoma may aid them in undertaking effective risk reduction measures. The objective of this study was to use the UK Biobank to predict the 10-year risk of melanoma using a newly developed polygenic risk score (PRS) and an existing clinical risk model. We developed the PRS using a matched case-control training dataset ( N = 16 434) in which age and sex were controlled by design. The combined risk score was developed using a cohort development dataset ( N = 54 799) and its performance was tested using a cohort testing dataset ( N = 54 798). Our PRS comprises 68 single-nucleotide polymorphisms and had an area under the receiver operating characteristic curve of 0.639 [95% confidence interval (CI) = 0.618-0.661]. In the cohort testing data, the hazard ratio per SD of the combined risk score was 1.332 (95% CI = 1.263-1.406). Harrell's C-index was 0.685 (95% CI = 0.654-0.715). Overall, the standardized incidence ratio was 1.193 (95% CI = 1.067-1.335). By combining a PRS and a clinical risk score, we have developed a risk prediction model that performs well in terms of discrimination and calibration. At an individual level, information on the 10-year risk of melanoma can motivate people to take risk-reduction action. At the population level, risk stratification can allow more effective population-level screening strategies to be implemented.
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Affiliation(s)
| | | | - Erika Spaeth
- Phenogen Sciences Inc., Charlotte, North Carolina, USA
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5
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Talwar JV, Laub D, Pagadala MS, Castro A, Lewis M, Luebeck GE, Gorman BR, Pan C, Dong FN, Markianos K, Teerlink CC, Lynch J, Hauger R, Pyarajan S, Tsao PS, Morris GP, Salem RM, Thompson WK, Curtius K, Zanetti M, Carter H. Autoimmune alleles at the major histocompatibility locus modify melanoma susceptibility. Am J Hum Genet 2023; 110:1138-1161. [PMID: 37339630 PMCID: PMC10357503 DOI: 10.1016/j.ajhg.2023.05.013] [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: 07/13/2022] [Revised: 05/20/2023] [Accepted: 05/22/2023] [Indexed: 06/22/2023] Open
Abstract
Autoimmunity and cancer represent two different aspects of immune dysfunction. Autoimmunity is characterized by breakdowns in immune self-tolerance, while impaired immune surveillance can allow for tumorigenesis. The class I major histocompatibility complex (MHC-I), which displays derivatives of the cellular peptidome for immune surveillance by CD8+ T cells, serves as a common genetic link between these conditions. As melanoma-specific CD8+ T cells have been shown to target melanocyte-specific peptide antigens more often than melanoma-specific antigens, we investigated whether vitiligo- and psoriasis-predisposing MHC-I alleles conferred a melanoma-protective effect. In individuals with cutaneous melanoma from both The Cancer Genome Atlas (n = 451) and an independent validation set (n = 586), MHC-I autoimmune-allele carrier status was significantly associated with a later age of melanoma diagnosis. Furthermore, MHC-I autoimmune-allele carriers were significantly associated with decreased risk of developing melanoma in the Million Veteran Program (OR = 0.962, p = 0.024). Existing melanoma polygenic risk scores (PRSs) did not predict autoimmune-allele carrier status, suggesting these alleles provide orthogonal risk-relevant information. Mechanisms of autoimmune protection were neither associated with improved melanoma-driver mutation association nor improved gene-level conserved antigen presentation relative to common alleles. However, autoimmune alleles showed higher affinity relative to common alleles for particular windows of melanocyte-conserved antigens and loss of heterozygosity of autoimmune alleles caused the greatest reduction in presentation for several conserved antigens across individuals with loss of HLA alleles. Overall, this study presents evidence that MHC-I autoimmune-risk alleles modulate melanoma risk unaccounted for by current PRSs.
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Affiliation(s)
- James V Talwar
- Department of Medicine, Division of Medical Genetics, University of California San Diego, La Jolla, CA 92093, USA; Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA 92093, USA
| | - David Laub
- Department of Medicine, Division of Medical Genetics, University of California San Diego, La Jolla, CA 92093, USA; Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA 92093, USA
| | - Meghana S Pagadala
- Biomedical Science Program, University of California San Diego, La Jolla, CA 92093, USA
| | - Andrea Castro
- Department of Medicine, Division of Medical Genetics, University of California San Diego, La Jolla, CA 92093, USA; Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA 92093, USA
| | - McKenna Lewis
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA 92093, USA
| | - Georg E Luebeck
- Public Health Sciences Division, Herbold Computational Biology Program, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Bryan R Gorman
- Center for Data and Computational Sciences (C-DACS), VA Boston Healthcare System, Boston, MA 02130, USA; Booz Allen Hamilton, Inc., McLean, VA 22102, USA
| | - Cuiping Pan
- Palo Alto Epidemiology Research and Information Center for Genomics, VA Palo Alto, CA, USA
| | - Frederick N Dong
- Center for Data and Computational Sciences (C-DACS), VA Boston Healthcare System, Boston, MA 02130, USA; Booz Allen Hamilton, Inc., McLean, VA 22102, USA
| | - Kyriacos Markianos
- Center for Data and Computational Sciences (C-DACS), VA Boston Healthcare System, Boston, MA 02130, USA; Division of Genetics and Genomics, Department of Pediatrics, Boston Children's Hospital, Boston, MA 02115, USA; Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA; Broad Institute of Harvard and MIT, Cambridge, MA 02115, USA
| | - Craig C Teerlink
- Department of Veterans Affairs Informatics and Computing Infrastructure (VINCI), VA Salt Lake City Healthcare System, Salt Lake City, UT, USA; Department of Internal Medicine, Division of Epidemiology, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Julie Lynch
- Department of Veterans Affairs Informatics and Computing Infrastructure (VINCI), VA Salt Lake City Healthcare System, Salt Lake City, UT, USA; Department of Internal Medicine, Division of Epidemiology, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Richard Hauger
- VA San Diego Healthcare System, La Jolla, CA, USA; Center for Behavioral Genetics of Aging, University of California San Diego, La Jolla, CA, USA; Center of Excellence for Stress and Mental Health (CESAMH), VA San Diego Healthcare System, San Diego, CA, USA
| | - Saiju Pyarajan
- Center for Data and Computational Sciences (C-DACS), VA Boston Healthcare System, Boston, MA 02130, USA; Department of Medicine, Brigham Women's Hospital, Boston, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Philip S Tsao
- Palo Alto Epidemiology Research and Information Center for Genomics, VA Palo Alto, CA, USA; Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Gerald P Morris
- Department of Pathology, University of California San Diego, La Jolla, CA 92093, USA
| | - Rany M Salem
- Division of Epidemiology, Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA 92093, USA
| | - Wesley K Thompson
- Center for Population Neuroscience and Genetics, Laureate Institute for Brain Research, Tulsa, OK 74136, USA
| | - Kit Curtius
- Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA 92093, USA; Moores Cancer Center, University of California San Diego, La Jolla, CA 92093, USA; Division of Biomedical Informatics, Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA
| | - Maurizio Zanetti
- Moores Cancer Center, University of California San Diego, La Jolla, CA 92093, USA; The Laboratory of Immunology, University of California San Diego, La Jolla, CA 92093, USA; Department of Medicine, Division of Hematology and Oncology, University of California San Diego, La Jolla, CA 92093, USA
| | - Hannah Carter
- Department of Medicine, Division of Medical Genetics, University of California San Diego, La Jolla, CA 92093, USA; Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA 92093, USA; Moores Cancer Center, University of California San Diego, La Jolla, CA 92093, USA.
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6
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Bhave P, Wong J, McInerney-Leo A, Cust AE, Lawn C, Janda M, Mar VJ. Management of cutaneous melanoma in Australia: a narrative review. Med J Aust 2023; 218:426-431. [PMID: 37120760 DOI: 10.5694/mja2.51910] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Revised: 02/05/2023] [Accepted: 02/28/2023] [Indexed: 05/01/2023]
Affiliation(s)
- Prachi Bhave
- Peter MacCallum Cancer Centre, University of Melbourne, Melbourne, VIC
- Alfred Hospital, Melbourne, VIC
| | | | - Aideen McInerney-Leo
- Dermatology Research Centre, University of Queensland Diamantina Institute for Cancer Immunology and Metabolic Medicine, Brisbane, QLD
- Australian Centre of Excellence in Melanoma Imaging, Brisbane, QLD
| | - Anne E Cust
- Australian Centre of Excellence in Melanoma Imaging, Brisbane, QLD
- Melanoma Institute Australia, Sydney, NSW
| | - Craig Lawn
- Melanoma Institute Australia, Sydney, NSW
- Centre of Excellence in Melanoma Imaging, Brisbane, QLD
| | - Monika Janda
- Centre for Health Services Research, University of Queensland, Brisbane, QLD
| | - Victoria J Mar
- Alfred Hospital, Melbourne, VIC
- Monash University, Melbourne, VIC
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Li Y, Schofield E, Hay JL. Unpacking Habit With Bayesian Mixed Models: Dynamic Approach to Health Behaviors With Interchangeable Elements, Illustrated Through Multiple Sun Protection Behaviors. THE QUANTITATIVE METHODS FOR PSYCHOLOGY 2023; 19:265-280. [PMID: 39323564 PMCID: PMC11423781 DOI: 10.20982/tqmp.19.3.p265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/27/2024]
Abstract
Analytics for behavioral habit typically model one behavior at a time, despite the fact that habit often involves multiple cooccurring behaviors, such as food choices and physical activities, where interrelated behaviors are often equally recommended. We propose a novel Mixed-Effects Dynamic hAbit model (MEDA) to simultaneously model multiple related, habitual behaviors. As an illustrative example, MEDA was applied to real-time assessments of sun protection (sunscreen, shade, hat, and protective clothing) reported twice daily by first-degree relatives of melanoma patients who are themselves at an elevated risk of skin cancer. MEDA aims to explicate habits in sun protection under varying environmental cues (e.g., sunny and hot weather). We found consistent between-group differences (e.g., men responding to weather cues more consistently than women) and interactions between cooccurring behaviors (e.g., being in shade discourages sunscreen wearing, more so in men than women). Moreover, MEDA transcends conventional methods to address longstanding challenges-how cue to action and volitional choices differ by groups or even by individual persons. Such nuances in interrelated habitual behaviors are relevant in numerous other applications, such as recommended dietary or physical activity behaviors. These methods best inform personalized behavioral interventions targeting individual preferences for precision behavioral intervention.
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Affiliation(s)
- Yuelin Li
- Department of Psychiatry & Behavioral Sciences,Memorial Sloan Kettering Cancer Center
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center
| | - Elizabeth Schofield
- Department of Psychiatry & Behavioral Sciences,Memorial Sloan Kettering Cancer Center
| | - Jennifer L Hay
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center
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8
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Lorenz A, Kozłowski M, Lenkiewicz S, Kwiatkowski S, Cymbaluk-Płoska A. Cutaneous Melanoma versus Vulvovaginal Melanoma-Risk Factors, Pathogenesis and Comparison of Immunotherapy Efficacy. Cancers (Basel) 2022; 14:5123. [PMID: 36291906 PMCID: PMC9600893 DOI: 10.3390/cancers14205123] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 10/10/2022] [Accepted: 10/12/2022] [Indexed: 12/01/2022] Open
Abstract
Cutaneous melanoma is a relatively common neoplasm, with fairly well understood pathogenesis, risk factors, prognosis and therapeutic protocols. The incidence of this disease is increasing every year. The situation is different for rare malignancies such as vulvar melanomas and for the even rarer vaginal melanomas. The risk factors for vulvovaginal tumors are not fully understood. The basis of treatment in both cases is surgical resection; however, other types of treatments such as immunotherapy are available. This paper focuses on comparing the pathogenesis and risk factors associated with these neoplasms as well as the efficacy of two groups of drugs-anti-PD-L1 and anti-CTLA4 inhibitors-against both cutaneous melanoma and melanoma of the lower genital tract (vulva and vagina). In the case of cutaneous melanoma, the situation looks more optimistic than for vulvovaginal melanoma, which has a much worse prognosis and, as it turns out, shows a poorer response to immune therapy.
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Affiliation(s)
- Anna Lorenz
- Department of Gynecological Surgery and Gynecological Oncology of Adults and Adolescents, Pomeranian Medical University in Szczecin, al. Powstańców Wielkopolskich 72, 70-111 Szczecin, Poland
| | - Mateusz Kozłowski
- Department of Gynecological Surgery and Gynecological Oncology of Adults and Adolescents, Pomeranian Medical University in Szczecin, al. Powstańców Wielkopolskich 72, 70-111 Szczecin, Poland
| | - Sebastian Lenkiewicz
- Department of Gynecological Surgery and Gynecological Oncology of Adults and Adolescents, Pomeranian Medical University in Szczecin, al. Powstańców Wielkopolskich 72, 70-111 Szczecin, Poland
| | - Sebastian Kwiatkowski
- Department of Obstetrics and Gynecology, Pomeranian Medical University in Szczecin, al. Powstańców Wielkopolskich 72, 70-111 Szczecin, Poland
| | - Aneta Cymbaluk-Płoska
- Department of Gynecological Surgery and Gynecological Oncology of Adults and Adolescents, Pomeranian Medical University in Szczecin, al. Powstańców Wielkopolskich 72, 70-111 Szczecin, Poland
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Yeap I, Becker T, Azimi F, Kernohan M. The management of hereditary melanoma, FAMMM syndrome and germline CDKN2A mutations: a narrative review. AUSTRALASIAN JOURNAL OF PLASTIC SURGERY 2022. [DOI: 10.34239/ajops.v5n2.324] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Familial atypical multiple mole melanoma (FAMMM) syndrome is a rare autosomal dominant disorder, in which patients present with a large number of melanocytic naevi and a strong history of malignant melanoma, usually at a young age. The most common genetic alteration, implicated in 40 per cent of FAMMM syndrome families, is a mutation of cyclin-dependent kinase inhibitor 2A (CDKN2A).1 CDKN2A encodes the tumour suppressor gene p16INK4a, a critical cell cycle inhibitor.2
The diagnosis and management of patients with FAMMM syndrome is relevant to the plastic surgeon who manages melanoma. However, clear guidelines on its diagnostic criteria and its relationship to associated but distinct syndromes, such as hereditary melanoma and B-K mole syndrome, are lacking in the extant literature.
The aim of this review is to clarify the diagnostic criteria and management principles for FAMMM syndrome. We propose a new system of classifying FAMMM syndrome patients as a subset of all patients with hereditary melanoma. We also present a management algorithm for these distinct patient groups (FAMMM syndrome, hereditary melanoma and germline CDKN2A mutations).
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Impact of Distribution of a Tip Sheet to Increase Early Detection and Prevention Behavior among First-Degree Relatives of Melanoma Patients: A Randomized Cluster Trial. Cancers (Basel) 2022; 14:cancers14163864. [PMID: 36010858 PMCID: PMC9406196 DOI: 10.3390/cancers14163864] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Revised: 07/28/2022] [Accepted: 08/08/2022] [Indexed: 11/21/2022] Open
Abstract
Simple Summary The risk of melanoma is higher in first-degree relatives (FDRs, i.e., brother, sister, father, mother, or children) of a patient with melanoma than in the general population. FDRs are advised to undergo annual screening to detect any melanoma earlier and to adopt sun-protective behavior by seeking shade, wearing a hat and long-sleeved clothing, staying indoors between 12 noon and 4 p.m., and applying sunscreen with SPF > 50. We know that these general instructions, usually given orally to the patients, are inconsistently followed by FDRs. Our goal was to determine whether written support intended for FDRs of patients would improve early detection and photoprotection as compared with usual oral advice. We developed and evaluated the use of a tip sheet given by patients to their FDRs. The adherence of FDRs to early detection by medical examination and to sun protection was not improved by delivery of the tip sheet as compared with the usual oral advice. Abstract Background: First-degree relatives (FDRs, defined as parents, children, and siblings) of melanoma patients are at a two-to-fivefold increased risk of developing melanoma themselves. FDRs are advised to perform self-skin examination (SSE) and annual medical total cutaneous examination (TCE) performed either by a dermatologist or a general practitioner, and to change their sun-related behavior. This advice is given orally to melanoma patients who are asked to relay the information to their FDRs. Objective: Our aim was to determine the impact of providing a tip sheet to melanoma patients intended to their first-degree relatives (FDRs) on early detection and sun-related behaviors in this group at increased risk of melanoma. Methods: A superiority, cluster-randomized trial was conducted at nine hospital centers. In the intervention group, dermatologists were asked to deliver to melanoma patients (index cases) the tip sheet and oral advice intended to their FDRs. The control group were asked to deliver the usual oral advice alone. The primary outcome was early detection of melanoma in FDRs with a medical TCE performed within one year after the first visit of the index case. Secondary outcomes were SSE and sun-related behaviors in FDRs. Results: A total of 48 index cases and 114 FDRS in the control group, 60 index cases and 166 FDRS in the intervention group were recruited. In the intervention group, 36.1% of FDRs performed a medical TCE as compared to 39.5% of FDRs in the control group (OR 0.9 [95% CI 0.5 to 1.5], p = 0.63). We did not find a between-group difference in SSE and sun-related behaviors. Conclusion: A tip sheet added to the usual oral advice did not increase medical TCE among FDRs of melanoma patients. Overall, the rate of TCE among FDRs was low. Research on other strategies is needed to increase melanoma detection in this population.
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Pauley K, Khan A, Kohlmann W, Jeter J. Considerations for Germline Testing in Melanoma: Updates in Behavioral Change and Pancreatic Surveillance for Carriers of CDKN2A Pathogenic Variants. Front Oncol 2022; 12:837057. [PMID: 35372037 PMCID: PMC8967159 DOI: 10.3389/fonc.2022.837057] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Accepted: 02/23/2022] [Indexed: 01/13/2023] Open
Abstract
The largest proportion of hereditary melanoma cases are due to pathogenic variants (PVs) in the CDKN2A/p16 gene, which account for 20%-40% of familial melanomas and confer up to a 30%-70% lifetime risk for melanoma in individuals with these variants. In addition, PVs in the CDKN2A gene also increase risk for pancreatic cancer (~5-24% lifetime risk). Individuals with PVs in the CDKN2A gene also tend to have an earlier onset of cancer. Despite these known risks, uptake of germline testing has been limited in the past, largely due to perceptions of limited benefit for patients. Prevention recommendations have been developed for individuals with CDKN2A PVs as well the providers who care for them. On the patient level, behavioral modifications regarding melanoma prevention such as wearing sunscreen, limiting prolonged sun exposure and practicing general sun safety can help reduce risks. Germline testing can provide motivation for some individuals to adhere to these lifestyle changes. On the provider level, pancreatic cancer surveillance for individuals with CDKN2A PVs has been increasingly endorsed by expert consensus, although the efficacy of these surveillance methods remains under study. This review summarizes the updated surveillance guidelines for individuals with CDKN2A PVs and explores the impact of genetic counseling and testing in influencing behavioral changes in these individuals.
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Affiliation(s)
- Kristen Pauley
- Family Cancer Assessment Clinic, Huntsman Cancer Institute, Salt Lake City, UT, United States
| | - Ambreen Khan
- Family Cancer Assessment Clinic, Huntsman Cancer Institute, Salt Lake City, UT, United States
| | - Wendy Kohlmann
- Family Cancer Assessment Clinic, Huntsman Cancer Institute, Salt Lake City, UT, United States
| | - Joanne Jeter
- Department of Internal Medicine, Huntsman Cancer Institute, Salt Lake City, UT, United States
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12
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Benton S, Roth A, Khan AU, Zhao J, Kim D, Compres EV, Wagner AM, Kruse LL, Zhang B, Gerami P. Risk factors for the development of Spitz neoplasms. Pediatr Dermatol 2022; 39:220-225. [PMID: 35187702 PMCID: PMC9306590 DOI: 10.1111/pde.14957] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Revised: 01/28/2022] [Accepted: 02/08/2022] [Indexed: 11/30/2022]
Abstract
BACKGROUND/OBJECTIVES The principal environmental risk factor for conventional nevi and melanomas is ultraviolet exposure. However, little is known about genetic or environmental risk factors for developing Spitz tumors. This study investigates risk factors associated with Spitz neoplasms. METHODS Patients with Spitz tumors seen at Northwestern Memorial Hospital and Lurie Children's Hospital were surveyed with a 16-item questionnaire about environmental and inherited factors. Spitz tumor patients were compared to a pediatric control cohort from a similar clinical setting. This was supplemented with a meta-analysis of genetic and environmental causes of Spitz neoplasms. RESULTS One hundred and six Spitz and 58 control surveys were obtained and no statistically significant differences in genetic or environmental risk factors were found between Spitz and control groups. CONCLUSION Our data and meta-analysis suggest that typical risk factors associated with melanoma are not significantly associated with Spitz tumors. Identification of relevant genetic or environmental risk factors will likely require larger and population-based studies.
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Affiliation(s)
- Sarah Benton
- Department of Dermatology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Andrew Roth
- Department of Dermatology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Ayesha U Khan
- Department of Dermatology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Jeffrey Zhao
- Department of Dermatology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Daniel Kim
- Department of Dermatology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Elsy V Compres
- Department of Dermatology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Annette M Wagner
- Division of Dermatology, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois, USA
| | - Lacey L Kruse
- Division of Dermatology, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois, USA
| | - Bin Zhang
- Department of Dermatology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Pedram Gerami
- Department of Dermatology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.,Robert H. Lurie Cancer Center, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
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13
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Lee KJ, Betz-Stablein B, Stark MS, Janda M, McInerney-Leo AM, Caffery LJ, Gillespie N, Yanes T, Soyer HP. The Future of Precision Prevention for Advanced Melanoma. Front Med (Lausanne) 2022; 8:818096. [PMID: 35111789 PMCID: PMC8801740 DOI: 10.3389/fmed.2021.818096] [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: 11/19/2021] [Accepted: 12/22/2021] [Indexed: 12/16/2022] Open
Abstract
Precision prevention of advanced melanoma is fast becoming a realistic prospect, with personalized, holistic risk stratification allowing patients to be directed to an appropriate level of surveillance, ranging from skin self-examinations to regular total body photography with sequential digital dermoscopic imaging. This approach aims to address both underdiagnosis (a missed or delayed melanoma diagnosis) and overdiagnosis (the diagnosis and treatment of indolent lesions that would not have caused a problem). Holistic risk stratification considers several types of melanoma risk factors: clinical phenotype, comprehensive imaging-based phenotype, familial and polygenic risks. Artificial intelligence computer-aided diagnostics combines these risk factors to produce a personalized risk score, and can also assist in assessing the digital and molecular markers of individual lesions. However, to ensure uptake and efficient use of AI systems, researchers will need to carefully consider how best to incorporate privacy and standardization requirements, and above all address consumer trust concerns.
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Affiliation(s)
- Katie J. Lee
- Dermatology Research Centre, The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, QLD, Australia
| | - Brigid Betz-Stablein
- Dermatology Research Centre, The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, QLD, Australia
| | - Mitchell S. Stark
- Dermatology Research Centre, The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, QLD, Australia
| | - Monika Janda
- Centre for Health Services Research, School of Medicine, The University of Queensland, Brisbane, QLD, Australia
| | - Aideen M. McInerney-Leo
- Dermatology Research Centre, The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, QLD, Australia
| | - Liam J. Caffery
- Centre for Health Services Research, School of Medicine, The University of Queensland, Brisbane, QLD, Australia
| | - Nicole Gillespie
- The University of Queensland Business School, Faculty of Business, Economics and Law, The University of Queensland, Brisbane, QLD, Australia
| | - Tatiane Yanes
- Dermatology Research Centre, The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, QLD, Australia
| | - H. Peter Soyer
- Dermatology Research Centre, The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, QLD, Australia
- Department of Dermatology, Princess Alexandra Hospital, Brisbane, QLD, Australia
- *Correspondence: H. Peter Soyer
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14
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Sargen MR, Tucker MA. Genotypic vs Phenotypic Risk Assessment for Melanoma. J Natl Cancer Inst 2021; 113:1279-1280. [PMID: 33837776 PMCID: PMC11186435 DOI: 10.1093/jnci/djab077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Accepted: 04/07/2021] [Indexed: 11/12/2022] Open
Affiliation(s)
- Michael R Sargen
- Affiliations of authors:Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD 20850, USA
| | - Margaret A Tucker
- Affiliations of authors:Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD 20850, USA
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15
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Beyond Nicotinamide Metabolism: Potential Role of Nicotinamide N-Methyltransferase as a Biomarker in Skin Cancers. Cancers (Basel) 2021; 13:cancers13194943. [PMID: 34638427 PMCID: PMC8508019 DOI: 10.3390/cancers13194943] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Revised: 09/15/2021] [Accepted: 09/28/2021] [Indexed: 02/01/2023] Open
Abstract
Skin cancers (SC) collectively represent the most common type of malignancy in white populations. SC includes two main forms: malignant melanoma and non-melanoma skin cancer (NMSC). NMSC includes different subtypes, namely, basal cell carcinoma (BCC), squamous cell carcinoma (SCC), Merkel cell carcinoma (MCC), and keratoacanthoma (KA), together with the two pre-neoplastic conditions Bowen disease (BD) and actinic keratosis (AK). Both malignant melanoma and NMSC are showing an increasing incidence rate worldwide, thus representing an important challenge for health care systems, also because, with some exceptions, SC are generally characterized by an aggressive behavior and are often diagnosed late. Thus, identifying new biomarkers suitable for diagnosis, as well as for prognosis and targeted therapy is mandatory. Nicotinamide N-methyltransferase (NNMT) is an enzyme that is emerging as a crucial player in the progression of several malignancies, while its substrate, nicotinamide, is known to exert chemopreventive effects. Since there is increasing evidence regarding the involvement of this enzyme in the malignant behavior of SC, the current review aims to summarize the state of the art as concerns NNMT role in SC and to support future studies focused on exploring the diagnostic and prognostic potential of NNMT in skin malignancies and its suitability for targeted therapy.
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16
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Marley AR, Li M, Champion VL, Song Y, Han J, Li X. The association between citrus consumption and melanoma risk in the UK Biobank. Br J Dermatol 2021; 185:353-362. [PMID: 33782946 PMCID: PMC8373643 DOI: 10.1111/bjd.19896] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/27/2021] [Indexed: 11/29/2022]
Abstract
BACKGROUND Melanoma incidence has been dramatically increasing worldwide. Psoralen, a known photocarcinogen, is naturally abundant in citrus products, leading to the hypothesis that high citrus consumption may increase melanoma risk. OBJECTIVES To investigate the association between total citrus consumption and melanoma risk, and the association between individual citrus products and melanoma risk, and to test for interactions between total citrus intake and established melanoma risk factors. METHODS Logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the association between citrus consumption and melanoma risk among 1592 cases and 197 372 controls from the UK Biobank cohort. Citrus consumption data were collected via five rounds of 24-h recall questionnaires. International Classification of Diseases codes were used to determine melanoma outcome. RESULTS After adjusting for potential confounders, participants in the highest category of total citrus intake (> 2 servings per day) had a significantly increased risk of melanoma (OR 1·63, 95% CI 1·24-2·12) relative to those with no consumption. For individual citrus products, participants with the most orange and orange juice consumption (> 1 serving per day) had a significantly increased melanoma risk relative to those with no consumption (OR 1·79, 95% CI 1·07-2·78 and OR 1·54, 95% CI 1·10-2·10, respectively). Fair- or very fair-skinned participants with high citrus consumption had an even greater melanoma risk (OR 1·75, 95% CI 1·31-2·29). CONCLUSIONS High citrus consumption was associated with an increased risk of melanoma in a large, prospective, population-based cohort. Further validation of these findings could lead to improved melanoma prevention strategies.
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Affiliation(s)
- A R Marley
- Department of Epidemiology, Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, IN, USA
| | - M Li
- Department of Epidemiology and Biostatistics, Indiana University School of Public Health, Bloomington, IN, USA
| | - V L Champion
- Department of Community Health Systems, Indiana University School of Nursing, Indianapolis, IN, USA
- Indiana University Melvin and Bren Simon Comprehensive Cancer Center, Indianapolis, IN, USA
| | - Y Song
- Department of Epidemiology, Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, IN, USA
| | - J Han
- Department of Epidemiology, Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, IN, USA
- Indiana University Melvin and Bren Simon Comprehensive Cancer Center, Indianapolis, IN, USA
| | - X Li
- Department of Epidemiology, Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, IN, USA
- Indiana University Melvin and Bren Simon Comprehensive Cancer Center, Indianapolis, IN, USA
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17
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Špaková I, Rabajdová M, Mičková H, Graier WF, Mareková M. Effect of hypoxia factors gene silencing on ROS production and metabolic status of A375 malignant melanoma cells. Sci Rep 2021; 11:10325. [PMID: 33990669 PMCID: PMC8121821 DOI: 10.1038/s41598-021-89792-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Accepted: 04/29/2021] [Indexed: 01/04/2023] Open
Abstract
The innate response of melanocytes to exogenous or endogenous stress stimuli like extreme pH and temperature, metabolite and oxygen deficiency or a high UV dose initiates a cellular stress response. This process activates adaptive processes to minimize the negative impact of the stressor on the pigment cell. Under physiological conditions, a non-cancer cell is directed to apoptosis if the stressor persists. However, malignant melanoma cells will survive persistent stress thanks to distinct "cancerous" signaling pathways (e.g. MEK) and transcription factors that regulate the expression of so-called "survival genes" (e.g. HIF, MITF). In this survival response of cancer cells, MEK pathway directs melanoma cells to deregulate mitochondrial metabolism, to accumulate reduced species (NADH), and to centralize metabolism in the cytosol. The aim of this work was to study the effect of gene silencing in malignant melanoma A375 cells on metabolic processes in cytosol and mitochondria. Gene silencing of HIF-1α, and miR-210 in normoxia and pseudohypoxia, and analysis of its effect on MITF-M, and PDHA1 expression. Detection of cytosolic NADH by Peredox-mCherry Assay. Detection of OCR, and ECAR using Seahorse XF96. Measurement of produced O2•- with MitoTracker Red CMXRos. 1H NMR analysis of metabolites present in cell suspension, and medium. By gene silencing of HIF-1α and miR-210 the expression of PDHA1 was upregulated while that of MITF-M was downregulated, yielding acceleration of mitochondrial respiratory activity and thus elimination of ROS. Hence, we detected a significantly reduced A375 cell viability, an increase in alanine, inositol, nucleotides, and other metabolites that together define apoptosis. Based on the results of measurements of mitochondrial resipiratory activity, ROS production, and changes in the metabolites obtained in cells under the observed conditions, we concluded that silencing of HIF-1α and miR-210 yields apoptosis and, ultimately, apoptotic cell death in A375 melanoma cells.
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Affiliation(s)
- Ivana Špaková
- Department of Medical and Clinical Biochemistry, Faculty of Medicine, Pavol Jozef Šafárik University in Košice, Trieda SNP 1, 04011, Košice, Slovakia
| | - Miroslava Rabajdová
- Department of Medical and Clinical Biochemistry, Faculty of Medicine, Pavol Jozef Šafárik University in Košice, Trieda SNP 1, 04011, Košice, Slovakia.
| | - Helena Mičková
- Department of Biology, Faculty of Medicine, Pavol Jozef Šafárik University in Košice, Košice, Slovakia
| | - Wolfgang F Graier
- Gottfried Schatz Research Center for Cell Signaling, Metabolism and Aging Molecular Biology and Biochemistry, Medical University of Graz, Graz, Austria.,BioTechMed, Graz, Austria
| | - Mária Mareková
- Department of Medical and Clinical Biochemistry, Faculty of Medicine, Pavol Jozef Šafárik University in Košice, Trieda SNP 1, 04011, Košice, Slovakia
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18
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Eddy K, Shah R, Chen S. Decoding Melanoma Development and Progression: Identification of Therapeutic Vulnerabilities. Front Oncol 2021; 10:626129. [PMID: 33614507 PMCID: PMC7891057 DOI: 10.3389/fonc.2020.626129] [Citation(s) in RCA: 52] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2020] [Accepted: 12/21/2020] [Indexed: 12/19/2022] Open
Abstract
Melanoma, a cancer of the skin, arises from transformed melanocytes. Melanoma has the highest mutational burden of any cancer partially attributed to UV induced DNA damage. Localized melanoma is “curable” by surgical resection and is followed by radiation therapy to eliminate any remaining cancer cells. Targeted therapies against components of the MAPK signaling cascade and immunotherapies which block immune checkpoints have shown remarkable clinical responses, however with the onset of resistance in most patients, and, disease relapse, these patients eventually become refractory to treatments. Although great advances have been made in our understanding of the metastatic process in cancers including melanoma, therapy failure suggests that much remains to be learned and understood about the multi-step process of tumor metastasis. In this review we provide an overview of melanocytic transformation into malignant melanoma and key molecular events that occur during this evolution. A better understanding of the complex processes entailing cancer cell dissemination will improve the mechanistic driven design of therapies that target specific steps involved in cancer metastasis to improve clinical response rates and overall survival in all cancer patients.
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Affiliation(s)
- Kevinn Eddy
- Graduate Program in Cellular and Molecular Pharmacology, School of Graduate Studies, Rutgers University, Piscataway, NJ, United States.,Susan Lehman Cullman Laboratory for Cancer Research, Rutgers University, Piscataway, NJ, United States
| | - Raj Shah
- Susan Lehman Cullman Laboratory for Cancer Research, Rutgers University, Piscataway, NJ, United States.,Joint Graduate Program in Toxicology, Rutgers University, Piscataway, NJ, United States
| | - Suzie Chen
- Graduate Program in Cellular and Molecular Pharmacology, School of Graduate Studies, Rutgers University, Piscataway, NJ, United States.,Susan Lehman Cullman Laboratory for Cancer Research, Rutgers University, Piscataway, NJ, United States.,Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, United States.,Environmental & Occupational Health Sciences Institute, Rutgers University, Piscataway, NJ, United States
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19
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Eddy K, Chen S. Overcoming Immune Evasion in Melanoma. Int J Mol Sci 2020; 21:E8984. [PMID: 33256089 PMCID: PMC7730443 DOI: 10.3390/ijms21238984] [Citation(s) in RCA: 111] [Impact Index Per Article: 27.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2020] [Revised: 11/17/2020] [Accepted: 11/25/2020] [Indexed: 02/06/2023] Open
Abstract
Melanoma is the most aggressive and dangerous form of skin cancer that develops from transformed melanocytes. It is crucial to identify melanoma at its early stages, in situ, as it is "curable" at this stage. However, after metastasis, it is difficult to treat and the five-year survival is only 25%. In recent years, a better understanding of the etiology of melanoma and its progression has made it possible for the development of targeted therapeutics, such as vemurafenib and immunotherapies, to treat advanced melanomas. In this review, we focus on the molecular mechanisms that mediate melanoma development and progression, with a special focus on the immune evasion strategies utilized by melanomas, to evade host immune surveillances. The proposed mechanism of action and the roles of immunotherapeutic agents, ipilimumab, nivolumab, pembrolizumab, and atezolizumab, adoptive T- cell therapy plus T-VEC in the treatment of advanced melanoma are discussed. In this review, we implore that a better understanding of the steps that mediate melanoma onset and progression, immune evasion strategies exploited by these tumor cells, and the identification of biomarkers to predict treatment response are critical in the design of improved strategies to improve clinical outcomes for patients with this deadly disease.
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Affiliation(s)
- Kevinn Eddy
- Graduate Program in Cellular and Molecular Pharmacology, School of Graduate Studies Rutgers University, Piscataway, NJ 08854, USA;
- Susan Lehman Cullman Laboratory for Cancer Research, Rutgers University, Piscataway, NJ 08854, USA
| | - Suzie Chen
- Graduate Program in Cellular and Molecular Pharmacology, School of Graduate Studies Rutgers University, Piscataway, NJ 08854, USA;
- Susan Lehman Cullman Laboratory for Cancer Research, Rutgers University, Piscataway, NJ 08854, USA
- Rutgers Cancer Institute of New Jersey, New Brunswick, NJ 08901, USA
- Environmental & Occupational Health Sciences Institute, Rutgers University, Piscataway, NJ 08854, USA
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20
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Landi MT, Bishop DT, MacGregor S, Machiela MJ, Stratigos AJ, Ghiorzo P, Brossard M, Calista D, Choi J, Fargnoli MC, Zhang T, Rodolfo M, Trower AJ, Menin C, Martinez J, Hadjisavvas A, Song L, Stefanaki I, Scolyer R, Yang R, Goldstein AM, Potrony M, Kypreou KP, Pastorino L, Queirolo P, Pellegrini C, Cattaneo L, Zawistowski M, Gimenez-Xavier P, Rodriguez A, Elefanti L, Manoukian S, Rivoltini L, Smith BH, Loizidou MA, Del Regno L, Massi D, Mandala M, Khosrotehrani K, Akslen LA, Amos CI, Andresen PA, Avril MF, Azizi E, Soyer HP, Bataille V, Dalmasso B, Bowdler LM, Burdon KP, Chen WV, Codd V, Craig JE, Dębniak T, Falchi M, Fang S, Friedman E, Simi S, Galan P, Garcia-Casado Z, Gillanders EM, Gordon S, Green A, Gruis NA, Hansson J, Harland M, Harris J, Helsing P, Henders A, Hočevar M, Höiom V, Hunter D, Ingvar C, Kumar R, Lang J, Lathrop GM, Lee JE, Li X, Lubiński J, Mackie RM, Malt M, Malvehy J, McAloney K, Mohamdi H, Molven A, Moses EK, Neale RE, Novaković S, Nyholt DR, Olsson H, Orr N, Fritsche LG, Puig-Butille JA, Qureshi AA, Radford-Smith GL, Randerson-Moor J, Requena C, Rowe C, Samani NJ, Sanna M, Schadendorf D, Schulze HJ, Simms LA, Smithers M, Song F, Swerdlow AJ, van der Stoep N, Kukutsch NA, Visconti A, Wallace L, Ward SV, Wheeler L, Sturm RA, Hutchinson A, Jones K, Malasky M, Vogt A, Zhou W, Pooley KA, Elder DE, Han J, Hicks B, Hayward NK, Kanetsky PA, Brummett C, Montgomery GW, Olsen CM, Hayward C, Dunning AM, Martin NG, Evangelou E, Mann GJ, Long G, Pharoah PDP, Easton DF, Barrett JH, Cust AE, Abecasis G, Duffy DL, Whiteman DC, Gogas H, De Nicolo A, Tucker MA, Newton-Bishop JA, Peris K, Chanock SJ, Demenais F, Brown KM, Puig S, Nagore E, Shi J, Iles MM, Law MH. Genome-wide association meta-analyses combining multiple risk phenotypes provide insights into the genetic architecture of cutaneous melanoma susceptibility. Nat Genet 2020; 52:494-504. [PMID: 32341527 PMCID: PMC7255059 DOI: 10.1038/s41588-020-0611-8] [Citation(s) in RCA: 134] [Impact Index Per Article: 33.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2019] [Accepted: 03/09/2020] [Indexed: 12/17/2022]
Abstract
Most genetic susceptibility to cutaneous melanoma remains to be discovered. Meta-analysis genome-wide association study (GWAS) of 36,760 cases of melanoma (67% newly genotyped) and 375,188 controls identified 54 significant (P < 5 × 10-8) loci with 68 independent single nucleotide polymorphisms. Analysis of risk estimates across geographical regions and host factors suggests the acral melanoma subtype is uniquely unrelated to pigmentation. Combining this meta-analysis with GWAS of nevus count and hair color, and transcriptome association approaches, uncovered 31 potential secondary loci for a total of 85 cutaneous melanoma susceptibility loci. These findings provide insights into cutaneous melanoma genetic architecture, reinforcing the importance of nevogenesis, pigmentation and telomere maintenance, together with identifying potential new pathways for cutaneous melanoma pathogenesis.
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Affiliation(s)
- Maria Teresa Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
| | - D Timothy Bishop
- Leeds Institute of Medical Research at St James's, Leeds Institute for Data Analytics, University of Leeds, Leeds, UK
| | - Stuart MacGregor
- Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Mitchell J Machiela
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Alexander J Stratigos
- Department of Dermatology, Andreas Syggros Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Paola Ghiorzo
- Genetics of Rare Cancers, Ospedale Policlinico San Martino, Genoa, Italy
- Department of Internal Medicine and Medical Specialties (DIMI), University of Genoa, Genoa, Italy
| | - Myriam Brossard
- Genetic Epidemiology and Functional Genomics of Multifactorial Diseases Team, Institut National de la Santé et de la Recherche Médicale (INSERM), UMRS-1124, Université Paris Descartes, Paris, France
| | - Donato Calista
- Department of Dermatology, Maurizio Bufalini Hospital, Cesena, Italy
| | - Jiyeon Choi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Maria Concetta Fargnoli
- Department of Dermatology & Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Tongwu Zhang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Monica Rodolfo
- Unit of Immunotherapy of Human Tumors, Department of Research, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy
| | - Adam J Trower
- Leeds Institute for Data Analytics, University of Leeds, Leeds, UK
| | - Chiara Menin
- Immunology and Molecular Oncology Unit, Venito Institute of Oncology IOV-IRCCS, Padua, Italy
| | | | - Andreas Hadjisavvas
- Department of EM/Molecular Pathology & The Cyprus School of Molecular Medicine, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
| | - Lei Song
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Irene Stefanaki
- Department of Dermatology, University of Athens School of Medicine, Andreas Sygros Hospital, Athens, Greece
| | - Richard Scolyer
- Melanoma Institute Australia, The University of Sydney, Sydney, New South Wales, Australia
- Royal Prince Alfred Hospital, Sydney, New South Wales, Australia
- Central Clinical School, The University of Sydney, Sydney, New South Wales, Australia
- New South Wales Health Pathology, Sydney, New South Wales, Australia
| | - Rose Yang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Alisa M Goldstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Miriam Potrony
- Dermatology Department, Melanoma Unit, Hospital Clínic de Barcelona, IDIBAPS, Universitat de Barcelona, CIBERER, Barcelona, Spain
| | - Katerina P Kypreou
- Department of Dermatology, University of Athens School of Medicine, Andreas Sygros Hospital, Athens, Greece
| | - Lorenza Pastorino
- Genetics of Rare Cancers, Ospedale Policlinico San Martino, Genoa, Italy
- Department of Internal Medicine and Medical Specialties (DIMI), University of Genoa, Genoa, Italy
| | - Paola Queirolo
- Medical Oncology Unit, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Cristina Pellegrini
- Department of Dermatology & Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Laura Cattaneo
- Pathology Unit, Azienda Socio-Sanitaria Territoriale Papa Giovanni XXIII, Bergamo, Italy
| | - Matthew Zawistowski
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Pol Gimenez-Xavier
- Dermatology Department, Melanoma Unit, Hospital Clínic de Barcelona, IDIBAPS, Universitat de Barcelona, CIBERER, Barcelona, Spain
| | - Arantxa Rodriguez
- Department of Dermatology, Instituto Valenciano de Oncología, Valencia, Spain
| | - Lisa Elefanti
- Immunology and Molecular Oncology Unit, Venito Institute of Oncology IOV-IRCCS, Padua, Italy
| | - Siranoush Manoukian
- Unit of Medical Genetics, Department of Medical Oncology and Hematology, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy
| | - Licia Rivoltini
- Unit of Immunotherapy of Human Tumors, Department of Research, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy
| | - Blair H Smith
- Division of Population Health and Genomics, Ninewells Hospital and Medical School, University of Dundee, Dundee, UK
| | - Maria A Loizidou
- Department of EM/Molecular Pathology & The Cyprus School of Molecular Medicine, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
| | - Laura Del Regno
- Institute of Dermatology, Catholic University, Rome, Italy
- Fondazione Policlinico Universitario A. Gemelli, IRCCS, Rome, Italy
| | - Daniela Massi
- Section of Anatomic Pathology, Department of Health Sciences, University of Florence, Florence, Italy
| | - Mario Mandala
- Department of Oncology, Giovanni XXIII Hospital, Bergamo, Italy
| | - Kiarash Khosrotehrani
- UQ Diamantina Institute, The University of Queensland, Brisbane, Queensland, Australia
- Department of Dermatology, Princess Alexandra Hospital, Brisbane, Queensland, Australia
| | - Lars A Akslen
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Department of Pathology, Haukeland University Hospital, Bergen, Norway
| | - Christopher I Amos
- Department of Community and Family Medicine, Geisel School of Medicine, Dartmouth College, Hanover, NH, USA
| | - Per A Andresen
- Department of Pathology, Molecular Pathology, Oslo University Hospital, Rikshospitalet, Oslo, Norway
| | - Marie-Françoise Avril
- Assistance Publique-Hôpitaux de Paris, Hôpital Cochin, Service de Dermatologie, Université Paris Descartes, Paris, France
| | - Esther Azizi
- Department of Dermatology, Sheba Medical Center, Tel Hashomer, Sackler Faculty of Medicine, Tel Aviv, Israel
- Oncogenetics Unit, Sheba Medical Center, Tel Hashomer, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - H Peter Soyer
- Department of Dermatology, Princess Alexandra Hospital, Brisbane, Queensland, Australia
- Dermatology Research Centre, The University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, Queensland, Australia
| | - Veronique Bataille
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
- Department of Dermatology, West Herts NHS Trust, Herts, UK
| | - Bruna Dalmasso
- Genetics of Rare Cancers, Ospedale Policlinico San Martino, Genoa, Italy
- Department of Internal Medicine and Medical Specialties (DIMI), University of Genoa, Genoa, Italy
| | - Lisa M Bowdler
- Sample Processing, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Kathryn P Burdon
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Wei V Chen
- Department of Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Veryan Codd
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
- NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Jamie E Craig
- Department of Ophthalmology, Flinders University, Adelaide, South Australia, Australia
| | - Tadeusz Dębniak
- Department of Genetics and Pathology, International Hereditary Cancer Center, Pomeranian Medical University, Szczecin, Poland
| | - Mario Falchi
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
- Department of Dermatology, West Herts NHS Trust, Herts, UK
| | - Shenying Fang
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Eitan Friedman
- Oncogenetics Unit, Sheba Medical Center, Tel Hashomer, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Sarah Simi
- Section of Anatomic Pathology, Department of Health Sciences, University of Florence, Florence, Italy
| | - Pilar Galan
- Université Paris 13, Equipe de Recherche en Epidémiologie Nutritionnelle (EREN), Centre de Recherche en Epidémiologie et Statistiques, Institut National de la Santé et de la Recherche Médicale (INSERM U1153), Institut National de la Recherche Agronomique (INRA U1125), Conservatoire National des Arts et Métiers, Communauté d'Université Sorbonne Paris Cité, Bobigny, France
| | - Zaida Garcia-Casado
- Department of Dermatology, Instituto Valenciano de Oncología, Valencia, Spain
| | - Elizabeth M Gillanders
- Inherited Disease Research Branch, National Human Genome Research Institute, National Institutes of Health, Baltimore, MD, USA
| | - Scott Gordon
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Adele Green
- Cancer and Population Studies, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
- CRUK Manchester Institute, Institute of Inflammation and Repair, University of Manchester, Manchester, UK
| | - Nelleke A Gruis
- Department of Dermatology, Leiden University Medical Centre, Leiden, the Netherlands
| | - Johan Hansson
- Department of Oncology-Pathology, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Mark Harland
- Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK
| | - Jessica Harris
- Translational Research Institute, Institute of Health and Biomedical Innovation, Princess Alexandra Hospital, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Per Helsing
- Department of Dermatology, Oslo University Hospital, Rikshospitalet, Oslo, Norway
| | - Anjali Henders
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia
| | - Marko Hočevar
- Department of Surgical Oncology, Institute of Oncology Ljubljana, Ljubljana, Slovenia
| | - Veronica Höiom
- Department of Oncology-Pathology, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - David Hunter
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Christian Ingvar
- Department of Surgery, Clinical Sciences, Lund University, Lund, Sweden
| | - Rajiv Kumar
- Division of Molecular Genetic Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | - Julie Lang
- Department of Medical Genetics, University of Glasgow, Glasgow, UK
| | - G Mark Lathrop
- McGill University and Genome Quebec Innovation Centre, Montreal, Canada
| | - Jeffrey E Lee
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Xin Li
- Department of Epidemiology, Richard M. Fairbanks School of Public Health, Melvin and Bren Simon Cancer Center, Indiana University, Indianapolis, IN, USA
| | - Jan Lubiński
- International Hereditary Cancer Center, Pomeranian Medical University, Szczecin, Poland
| | - Rona M Mackie
- Department of Medical Genetics, University of Glasgow, Glasgow, UK
- Department of Public Health, University of Glasgow, Glasgow, UK
| | - Maryrose Malt
- Cancer and Population Studies, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Josep Malvehy
- Dermatology Department, Melanoma Unit, Hospital Clínic de Barcelona, IDIBAPS, Universitat de Barcelona, CIBERER, Barcelona, Spain
| | - Kerrie McAloney
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Hamida Mohamdi
- Genetic Epidemiology and Functional Genomics of Multifactorial Diseases Team, Institut National de la Santé et de la Recherche Médicale (INSERM), UMRS-1124, Université Paris Descartes, Paris, France
| | - Anders Molven
- Department of Pathology, Haukeland University Hospital, Bergen, Norway
- Gade Laboratory for Pathology, Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Eric K Moses
- Centre for Genetic Origins of Health and Disease, Faculty of Medicine, Dentistry and Health Sciences, The University of Western Australia, Crawley, Western Australia, Australia
| | - Rachel E Neale
- Cancer Aetiology & Prevention, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Srdjan Novaković
- Department of Molecular Diagnostics, Institute of Oncology Ljubljana, Ljubljana, Slovenia
| | - Dale R Nyholt
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
- School of Biomedical Sciences and Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Håkan Olsson
- Department of Oncology/Pathology, Clinical Sciences, Lund University, Lund, Sweden
- Department of Cancer Epidemiology, Clinical Sciences, Lund University, Lund, Sweden
| | - Nicholas Orr
- Breakthrough Breast Cancer Research Centre, The Institute of Cancer Research, London, UK
| | - Lars G Fritsche
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Joan Anton Puig-Butille
- Biochemistry and Molecular Genetics Department, Melanoma Unit, Hospital Clínic de Barcelona, IDIBAPS, Universitat de Barcelona,CIBERER, Barcelona, Spain
| | - Abrar A Qureshi
- Department of Dermatology, The Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Graham L Radford-Smith
- Inflammatory Bowel Diseases, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
- Department of Gastroenterology and Hepatology, Royal Brisbane & Women's Hospital, Brisbane, Queensland, Australia
- University of Queensland School of Medicine, Herston Campus, Brisbane, Queensland, Australia
| | | | - Celia Requena
- Department of Dermatology, Instituto Valenciano de Oncología, Valencia, Spain
| | - Casey Rowe
- UQ Diamantina Institute, The University of Queensland, Brisbane, Queensland, Australia
| | - Nilesh J Samani
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
- NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Marianna Sanna
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
- Department of Dermatology, West Herts NHS Trust, Herts, UK
| | - Dirk Schadendorf
- Department of Dermatology, University Hospital Essen, Essen, Germany
- German Consortium Translational Cancer Research (DKTK), Heidelberg, Germany
| | - Hans-Joachim Schulze
- Department of Dermatology, Fachklinik Hornheide, Institute for Tumors of the Skin, University of Münster, Münster, Germany
| | - Lisa A Simms
- Inflammatory Bowel Diseases, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Mark Smithers
- Queensland Melanoma Project, Princess Alexandra Hospital, The University of Queensland, St Lucia, Queensland, Australia
- Mater Research Institute, The University of Queensland, St Lucia, Queensland, Australia
| | - Fengju Song
- Departments of Epidemiology and Biostatistics, Key Laboratory of Cancer Prevention and Therapy, Tianjin, National Clinical Research Center of Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, P. R. China
| | - Anthony J Swerdlow
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Division of Breast Cancer Research, The Institute of Cancer Research, London, UK
| | - Nienke van der Stoep
- Department of Clinical Genetics, Center of Human and Clinical Genetics, Leiden University Medical Center, Leiden, the Netherlands
| | - Nicole A Kukutsch
- Department of Dermatology, Leiden University Medical Centre, Leiden, the Netherlands
| | - Alessia Visconti
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
- Department of Dermatology, West Herts NHS Trust, Herts, UK
| | - Leanne Wallace
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia
| | - Sarah V Ward
- Centre for Genetic Origins of Health and Disease, School of Biomedical Sciences, The University of Western Australia, Perth, Western Australia, Australia
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Lawrie Wheeler
- Translational Research Institute, Institute of Health and Biomedical Innovation, Princess Alexandra Hospital, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Richard A Sturm
- Dermatology Research Centre, The University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, Queensland, Australia
| | - Amy Hutchinson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Cancer Genome Research Laboratory, Leidos Biomedical Research, Bethesda, MD, USA
| | - Kristine Jones
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Cancer Genome Research Laboratory, Leidos Biomedical Research, Bethesda, MD, USA
| | - Michael Malasky
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Cancer Genome Research Laboratory, Leidos Biomedical Research, Bethesda, MD, USA
| | - Aurelie Vogt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Cancer Genome Research Laboratory, Leidos Biomedical Research, Bethesda, MD, USA
| | - Weiyin Zhou
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Cancer Genome Research Laboratory, Leidos Biomedical Research, Bethesda, MD, USA
| | - Karen A Pooley
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - David E Elder
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Jiali Han
- Department of Epidemiology, Richard M. Fairbanks School of Public Health, Melvin and Bren Simon Cancer Center, Indiana University, Indianapolis, IN, USA
| | - Belynda Hicks
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Cancer Genome Research Laboratory, Leidos Biomedical Research, Bethesda, MD, USA
| | - Nicholas K Hayward
- Oncogenomics, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Peter A Kanetsky
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Chad Brummett
- Department of Anesthesiology, University of Michigan, Ann Arbor, MI, USA
| | - Grant W Montgomery
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia
| | - Catherine M Olsen
- Cancer Control Group, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Caroline Hayward
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh, UK
| | - Alison M Dunning
- Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Nicholas G Martin
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Evangelos Evangelou
- Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, Greece
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
| | - Graham J Mann
- Melanoma Institute Australia, The University of Sydney, Sydney, New South Wales, Australia
- Centre for Cancer Research, Westmead Institute for Medical Research, Sydney, Australia
- John Curtin School of Medical Research, Australian National University, Canberra, Australian Capital Territory, Australia
| | - Georgina Long
- Melanoma Institute Australia, The University of Sydney, Sydney, New South Wales, Australia
- Royal North Shore Hospital, Sydney, Australia
| | - Paul D P Pharoah
- Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Douglas F Easton
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | | | - Anne E Cust
- Melanoma Institute Australia, The University of Sydney, Sydney, New South Wales, Australia
- Cancer Epidemiology and Prevention Research, Sydney School of Public Health, Sydney, Australia
| | - Goncalo Abecasis
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
| | - David L Duffy
- Dermatology Research Centre, The University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, Queensland, Australia
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - David C Whiteman
- Cancer Control Group, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Helen Gogas
- First Department of Internal Medicine, Laikon General Hospital Greece, National and Kapodistrian University of Athens, Athens, Greece
| | - Arcangela De Nicolo
- Cancer Genomics Program, Veneto Institute of Oncology IOV-IRCCS, Padua, Italy
| | - Margaret A Tucker
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | | | - Ketty Peris
- Institute of Dermatology, Catholic University, Rome, Italy
- Fondazione Policlinico Universitario A. Gemelli, IRCCS, Rome, Italy
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Florence Demenais
- Genetic Epidemiology and Functional Genomics of Multifactorial Diseases Team, Institut National de la Santé et de la Recherche Médicale (INSERM), UMRS-1124, Université Paris Descartes, Paris, France
| | - Kevin M Brown
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Susana Puig
- Dermatology Department, Melanoma Unit, Hospital Clínic de Barcelona, IDIBAPS, Universitat de Barcelona, CIBERER, Barcelona, Spain
| | - Eduardo Nagore
- Department of Dermatology, Instituto Valenciano de Oncología, Valencia, Spain
| | - Jianxin Shi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Mark M Iles
- Leeds Institute for Data Analytics, University of Leeds, Leeds, UK.
| | - Matthew H Law
- Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.
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Abstract
The incidence of melanoma continues to increase worldwide. In the United States, melanoma is the fifth most common cancer in men and the sixth most common cancer in women. The risk factors contributing to melanoma have largely remained unchanged, but there is a new focus on modifiable risk factors including sun exposure and ultraviolet light. A large public initiative supported by the Centers for Disease Control focuses on educating the public on the risks of sun exposure and indoor tanning. Early detection and resection of melanoma lesions is necessary to prevent metastasis and reduce medical costs.
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Affiliation(s)
- Stephanie Carr
- General Surgery, Marshfield Medical Center, 1000 North Oak Avenue, Marshfield, WI 54449, USA
| | - Christy Smith
- General Surgery, Marshfield Medical Center, 1000 North Oak Avenue, Marshfield, WI 54449, USA
| | - Jessica Wernberg
- General Surgery, Marshfield Medical Center, 1000 North Oak Avenue, Marshfield, WI 54449, USA.
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22
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Wei EX, Li X, Nan H. Having a first-degree relative with melanoma increases lifetime risk of melanoma, squamous cell carcinoma, and basal cell carcinoma. J Am Acad Dermatol 2019; 81:489-499. [DOI: 10.1016/j.jaad.2019.04.044] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2018] [Revised: 04/01/2019] [Accepted: 04/14/2019] [Indexed: 01/29/2023]
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23
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Nosrati A, Yu WY, McGuire J, Griffin A, de Souza JR, Singh R, Linos E, Chren MM, Grimes B, Jewell NP, Wei ML. Outcomes and Risk Factors in Patients with Multiple Primary Melanomas. J Invest Dermatol 2019; 139:195-201. [PMID: 30031745 PMCID: PMC9191767 DOI: 10.1016/j.jid.2018.07.009] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2017] [Revised: 06/28/2018] [Accepted: 07/08/2018] [Indexed: 01/24/2023]
Abstract
The incidence and patient survival rates of melanoma have increased over the last several decades, with a growing population of patients who develop multiple primary melanomas (MPMs). To determine risk factors for developing MPMs and compare the survival of patients with MPMs to those with single primary melanomas, a prospective, multidisciplinary database of patients with melanoma at a single tertiary care institution was retrospectively reviewed. From 1985 to 2013, 6,963 patients with single primary melanomas and 305 patients with MPMs were identified. Mean follow-up was 8.3 ± 6.3 years for patients with single primary melanomas and 8.8 ± 5.9 years for patients with MPMs. Risk of developing multiple melanomas increased with age at diagnosis of first melanoma (hazard ratio [HR] = 1.20 for a 10-year increase in age, 95% confidence interval [CI] = 1.11-1.29, P < 0.001), male sex (HR = 1.44, 95% CI = 1.12-1.84, P = 0.005), and white race (HR = 3.07, 95% CI = 1.45-6.51). Patients with invasive MPMs had increased risk of melanoma-specific death both before (HR = 1.47, 95% CI = 1.0-2.2) and after adjusting for age, sex, site, race, family history of melanoma, personal history of other cancer, and Surveillance, Epidemiology, and End Results Program (SEER) stage (HR = 1.44, 95% CI = 0.95-2.2); however, this result did not reach statistical significance.
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Affiliation(s)
- Adi Nosrati
- Department of Dermatology, University of California, San Francisco, San Francisco, California, USA; Dermatology Service, Veterans Affairs Medical Center, San Francisco, California, USA
| | - Wesley Y Yu
- Department of Dermatology, University of California, San Francisco, San Francisco, California, USA; Dermatology Service, Veterans Affairs Medical Center, San Francisco, California, USA
| | - Joseph McGuire
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, California, USA
| | - Ann Griffin
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, California, USA
| | - Juliana Rocha de Souza
- Department of Dermatology, University of California, San Francisco, San Francisco, California, USA
| | - Rasnik Singh
- Department of Dermatology, University of California, San Francisco, San Francisco, California, USA
| | - Eleni Linos
- Department of Dermatology, University of California, San Francisco, San Francisco, California, USA; Program for Clinical Research, Department of Dermatology, University of California, San Francisco, San Francisco, California, USA
| | - Mary Margaret Chren
- Department of Dermatology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Barbara Grimes
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA
| | - Nicholas P Jewell
- Departments of Biostatistics and Statistics, University of California, Berkeley, Berkeley, California, USA
| | - Maria L Wei
- Department of Dermatology, University of California, San Francisco, San Francisco, California, USA; Dermatology Service, Veterans Affairs Medical Center, San Francisco, California, USA; Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, California, USA; Program for Clinical Research, Department of Dermatology, University of California, San Francisco, San Francisco, California, USA.
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24
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Gu F, Chen TH, Pfeiffer RM, Fargnoli MC, Calista D, Ghiorzo P, Peris K, Puig S, Menin C, De Nicolo A, Rodolfo M, Pellegrini C, Pastorino L, Evangelou E, Zhang T, Hua X, DellaValle CT, Timothy Bishop D, MacGregor S, Iles MI, Law MH, Cust A, Brown KM, Stratigos AJ, Nagore E, Chanock S, Shi J, Consortium MMA, Consortium M, Landi MT. Combining common genetic variants and non-genetic risk factors to predict risk of cutaneous melanoma. Hum Mol Genet 2018; 27:4145-4156. [PMID: 30060076 PMCID: PMC6240742 DOI: 10.1093/hmg/ddy282] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2018] [Revised: 06/14/2018] [Accepted: 07/24/2018] [Indexed: 02/04/2023] Open
Abstract
Melanoma heritability is among the highest for cancer and single nucleotide polymorphisms (SNPs) contribute to it. To date, only SNPs that reached statistical significance in genome-wide association studies or few candidate SNPs have been included in melanoma risk prediction models. We compared four approaches for building polygenic risk scores (PRS) using 12 874 melanoma cases and 23 203 controls from Melanoma Meta-Analysis Consortium as a training set, and newly genotyped 3102 cases and 2301 controls from the MelaNostrum consortium for validation. We estimated adjusted odds ratios (ORs) for melanoma risk using traditional melanoma risk factors and the PRS with the largest area under the receiver operator characteristics curve (AUC). We estimated absolute risks combining the PRS and other risk factors, with age- and sex-specific melanoma incidence and competing mortality rates from Italy as an example. The best PRS, including 204 SNPs (AUC = 64.4%; 95% confidence interval (CI) = 63-65.8%), developed using winner's curse estimate corrections, had a per-quintile OR = 1.35 (95% CI = 1.30-1.41), corresponding to a 3.33-fold increase comparing the 5th to the 1st PRS quintile. The AUC improvement by adding the PRS was up to 7%, depending on adjusted factors and country. The 20-year absolute risk estimates based on the PRS, nevus count and pigmentation characteristics for a 60-year-old Italian man ranged from 0.5 to 11.8% (relative risk = 26.34), indicating good separation.
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Affiliation(s)
- Fangyi Gu
- Department of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Ting-Huei Chen
- Department of Mathematics and Statistics, Laval University, Quebec, Canada
| | - Ruth M Pfeiffer
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | | | - Donato Calista
- Department of Dermatology, Maurizio Bufalini Hospital, Cesena, Italy
| | - Paola Ghiorzo
- Department of Internal Medicine and Medical Specialties, University of Genoa and Genetics of Rare Cancers, Ospedale Policlinico San Martino, Genoa, Italy
| | - Ketty Peris
- Institute of Dermatology, Catholic University, Rome, Italy
| | - Susana Puig
- Dermatology Department, Melanoma Unit, Hospital Clínic de Barcelona, IDIBAPS, Universitat de Barcelona, Barcelona, Spain and Centro de Investigación Biomédica en Red en Enfermedades Raras (CIBERER), Valencia, Spain
| | - Chiara Menin
- Department of Immunology and Molecular Oncology, Veneto Institute of Oncology IOV–IRCCS, Padua, Italy
| | - Arcangela De Nicolo
- Cancer Genomics Program, Veneto Institute of Oncology IOV–IRCCS, Padua, Italy
| | - Monica Rodolfo
- Department of Experimental Oncology and Molecular Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | | | - Lorenza Pastorino
- Department of Internal Medicine and Medical Specialties, University of Genoa and Genetics of Rare Cancers, Ospedale Policlinico San Martino, Genoa, Italy
| | - Evangelos Evangelou
- Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, Greece
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
| | - Tongwu Zhang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Xing Hua
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Curt T DellaValle
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - D Timothy Bishop
- Section of Epidemiology and Biostatistics, Leeds Institute of Cancer and Pathology, University of Leeds, UK
| | - Stuart MacGregor
- Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Mark I Iles
- Section of Epidemiology and Biostatistics, Leeds Institute of Cancer and Pathology, University of Leeds, UK
| | - Matthew H Law
- Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Anne Cust
- Sydney School of Public Health, and Melanoma Institute Australia, The University of Sydney, Sydney, Australia
| | - Kevin M Brown
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Alexander J Stratigos
- 1 Department of Dermatology–Venereology, National and Kapodistrian University of Athens School of Medicine, Andreas Sygros Hospital, Athens, Greece
| | - Eduardo Nagore
- Department of Dermatology, Instituto Valenciano de Oncología, València, Spain
| | - Stephen Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Jianxin Shi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | | | | | - Maria Teresa Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
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25
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Hu X, Su J, Zhou Y, Xie X, Peng C, Yuan Z, Chen X. Repressing CD147 is a novel therapeutic strategy for malignant melanoma. Oncotarget 2018; 8:25806-25813. [PMID: 28445958 PMCID: PMC5421970 DOI: 10.18632/oncotarget.15709] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2016] [Accepted: 01/22/2017] [Indexed: 12/21/2022] Open
Abstract
CD147/basigin, a transmembrane protein, is a member of the immunoglobulin super family. Accumulating evidence has revealed the role of CD147 in the development and progression of various cancers, including malignant melanoma (MM). MM is a malignancy of pigment-producing cells that causes the greatest number of skin cancer-related deaths worldwide. CD147 is overexpressed in MM and plays an important role in cell viability, apoptosis, proliferation, invasion, and metastasis, probably by mediating vascular endothelial growth factor (VEGF) production, glycolysis, and multi-drug resistance (MDR). As a matrix metalloproteinase (MMP) inducer, CD147 could also promote surrounding fibroblasts to secrete abundant MMPs to further stimulate tumor cell invasion. Targeting CD147 has been shown to suppress MM in vitro and in vivo, highlighting the therapeutic potential of CD147 silencing in MM treatment. In this review article, we discuss CD147 and its biological roles, regulatory mechanisms, and potential application as a molecular target for MM.
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Affiliation(s)
- Xing Hu
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, China.,Hunan Key Laboratory of Skin Cancer and Psoriasis, Xiangya Hospital, Central South University, Changsha, China
| | - Juan Su
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, China.,Hunan Key Laboratory of Skin Cancer and Psoriasis, Xiangya Hospital, Central South University, Changsha, China
| | - Youyou Zhou
- Hunan Key Laboratory of Skin Cancer and Psoriasis, Xiangya Hospital, Central South University, Changsha, China
| | - Xiaoyun Xie
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, China.,Hunan Key Laboratory of Skin Cancer and Psoriasis, Xiangya Hospital, Central South University, Changsha, China
| | - Cong Peng
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, China.,Hunan Key Laboratory of Skin Cancer and Psoriasis, Xiangya Hospital, Central South University, Changsha, China
| | - Zhimin Yuan
- Department of Genetics and Complex Diseases, Harvard T.H Chan School of Public Health, Boston, MA, USA
| | - Xiang Chen
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, China.,Hunan Key Laboratory of Skin Cancer and Psoriasis, Xiangya Hospital, Central South University, Changsha, China
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26
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Wu YP, Kohlmann W, Curtin K, Yu Z, Hanson HA, Hashibe M, Parsons BG, Wong J, Schiffman JD, Grossman D, Leachman SA. Melanoma risk assessment based on relatives' age at diagnosis. Cancer Causes Control 2017; 29:193-199. [PMID: 29243179 DOI: 10.1007/s10552-017-0994-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2017] [Accepted: 12/08/2017] [Indexed: 10/18/2022]
Abstract
PURPOSE The aim of this study was to determine risk for melanoma among individuals who have a first- or second-degree relative with a history of melanoma, based on the unaffected individual's age and age at diagnosis of the relative. METHODS The study employed a case-control design using a statewide database linked with a Surveillance Epidemiology and End Results cancer registry. A population-based sample of individuals who received at least one diagnosis of first primary, malignant melanoma (n = 14,281), as well as their first- and second-degree relatives, was included. Control individuals with no history of melanoma (n = 70,889) were matched to cases on birth year, gender, race/ethnicity, and county at birth. RESULTS Risk for melanoma among relatives of melanoma patients declined with relative's age and age at diagnosis. Individuals between ages 40 and 49 who are first-degree relatives of melanoma patients diagnosed between ages 40 and 49 had the greatest risk for melanoma compared with individuals without a first-degree relative with a melanoma history (HR 4.89; 95% CI 3.11-7.68). Increased melanoma risk among second-degree relatives of patients was typically lower than that for first-degree relatives. CONCLUSIONS Risk for melanoma, at earlier ages than expected, is increased among relatives of individuals with a history of melanoma, particularly if the melanoma case was diagnosed at a young age. Further research on the relationship between age at diagnosis and relative's melanoma risk could inform melanoma screening recommendations for individuals with a family history of the disease.
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Affiliation(s)
- Yelena P Wu
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA. .,Departments of Dermatology and Oncological Sciences, University of Utah, Salt Lake City, UT, USA.
| | - Wendy Kohlmann
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Karen Curtin
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA.,Department of Medicine, University of Utah, Salt Lake City, UT, USA
| | - Zhe Yu
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Heidi A Hanson
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA.,Department of Surgery, University of Utah, Salt Lake City, UT, USA
| | - Mia Hashibe
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA.,Division of Public Health, Department of Family and Preventive Medicine, University of Utah, Salt Lake City, UT, USA
| | - Bridget G Parsons
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Jathine Wong
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Joshua D Schiffman
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA.,Department of Pediatrics, University of Utah, Salt Lake City, UT, USA
| | - Douglas Grossman
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA.,Departments of Dermatology and Oncological Sciences, University of Utah, Salt Lake City, UT, USA
| | - Sancy A Leachman
- Department of Dermatology, Oregon Health and Science University, Portland, OR, USA
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27
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Artomov M, Stratigos AJ, Kim I, Kumar R, Lauss M, Reddy BY, Miao B, Daniela Robles-Espinoza C, Sankar A, Njauw CN, Shannon K, Gragoudas ES, Marie Lane A, Iyer V, Newton-Bishop JA, Timothy Bishop D, Holland EA, Mann GJ, Singh T, Daly MJ, Tsao H. Rare Variant, Gene-Based Association Study of Hereditary Melanoma Using Whole-Exome Sequencing. J Natl Cancer Inst 2017; 109:3861235. [PMID: 29522175 PMCID: PMC5939858 DOI: 10.1093/jnci/djx083] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2016] [Revised: 02/03/2017] [Accepted: 04/04/2017] [Indexed: 12/29/2022] Open
Abstract
Background Extraordinary progress has been made in our understanding of common variants in many diseases, including melanoma. Because the contribution of rare coding variants is not as well characterized, we performed an exome-wide, gene-based association study of familial cutaneous melanoma (CM) and ocular melanoma (OM). Methods Using 11 990 jointly processed individual DNA samples, whole-exome sequencing was performed, followed by large-scale joint variant calling using GATK (Genome Analysis ToolKit). PLINK/SEQ was used for statistical analysis of genetic variation. Four models were used to estimate the association among different types of variants. In vitro functional validation was performed using three human melanoma cell lines in 2D and 3D proliferation assays. In vivo tumor growth was assessed using xenografts of human melanoma A375 melanoma cells in nude mice (eight mice per group). All statistical tests were two-sided. Results Strong signals were detected for CDKN2A (Pmin = 6.16 × 10-8) in the CM cohort (n = 273) and BAP1 (Pmin = 3.83 × 10-6) in the OM (n = 99) cohort. Eleven genes that exhibited borderline association (P < 10-4) were independently validated using The Cancer Genome Atlas melanoma cohort (379 CM, 47 OM) and a matched set of 3563 European controls with CDKN2A (P = .009), BAP1 (P = .03), and EBF3 (P = 4.75 × 10-4), a candidate risk locus, all showing evidence of replication. EBF3 was then evaluated using germline data from a set of 132 familial melanoma cases and 4769 controls of UK origin (joint P = 1.37 × 10-5). Somatically, loss of EBF3 expression correlated with progression, poorer outcome, and high MITF tumors. Functionally, induction of EBF3 in melanoma cells reduced cell growth in vitro, retarded tumor formation in vivo, and reduced MITF levels. Conclusions The results of this large rare variant germline association study further define the mutational landscape of hereditary melanoma and implicate EBF3 as a possible CM predisposition gene.
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Affiliation(s)
- Mykyta Artomov
- MGH Analytic and Translational Genetics Unit, MGH and Broad Institute, Boston, MA
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA
| | - Alexander J Stratigos
- 1st Department of Dermatology, University of Athens School of Medicine, Andreas Sygros Hospital, Athens, Greece
| | - Ivana Kim
- Retina Service, Massachusetts Eye and Ear Infirmary, Boston, MA
| | - Raj Kumar
- Department of Dermatology, Wellman Center for Photomedicine, MGH, Boston, MA
| | - Martin Lauss
- Retina Service, Massachusetts Eye and Ear Infirmary, Boston, MA
- Department of Oncology, Clinical Sciences, Lund University, Lund, Sweden
| | - Bobby Y Reddy
- Department of Dermatology, Wellman Center for Photomedicine, MGH, Boston, MA
| | - Benchun Miao
- Department of Dermatology, Wellman Center for Photomedicine, MGH, Boston, MA
| | - Carla Daniela Robles-Espinoza
- Experimental Cancer Genetics, Wellcome Trust Sanger Institute, Cambridge, UK
- Laboratorio Internacional de Investigación sobre el Genoma Humano, Universidad Nacional Autónoma de México, Santiago de Querétaro, Mexico
| | - Aravind Sankar
- Experimental Cancer Genetics, Wellcome Trust Sanger Institute, Cambridge, UK
| | - Ching-Ni Njauw
- Department of Dermatology, Wellman Center for Photomedicine, MGH, Boston, MA
| | - Kristen Shannon
- Melanoma Genetics Program, MGH Cancer Center, MGH, Boston, MA
| | | | - Anne Marie Lane
- Retina Service, Massachusetts Eye and Ear Infirmary, Boston, MA
| | - Vivek Iyer
- Experimental Cancer Genetics, Wellcome Trust Sanger Institute, Cambridge, UK
| | - Julia A Newton-Bishop
- Section of Epidemiology and Biostatistics, Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
| | - D Timothy Bishop
- Department of Dermatology, Wellman Center for Photomedicine, MGH, Boston, MA
- Section of Epidemiology and Biostatistics, Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
| | - Elizabeth A Holland
- Centre for Cancer Research, Westmead Institute for Medical Research, University of Sydney, Westmead, Australia
| | - Graham J Mann
- Centre for Cancer Research, Westmead Institute for Medical Research, University of Sydney, Westmead, Australia
- Melanoma Institute Australia, University of Sydney, North Sydney, NSW, Australia
| | - Tarjinder Singh
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
| | - Mark J Daly
- MGH Analytic and Translational Genetics Unit, MGH and Broad Institute, Boston, MA
| | - Hensin Tsao
- Melanoma Genetics Program, MGH Cancer Center, MGH, Boston, MA
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Wu YP, Mays D, Kohlmann W, Tercyak KP. Pediatric Predispositional Genetic Risk Communication: Potential Utility for Prevention and Control of Melanoma Risk as an Exemplar. J Genet Couns 2017; 26:887-893. [PMID: 28547663 PMCID: PMC5702278 DOI: 10.1007/s10897-017-0105-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2016] [Accepted: 04/25/2017] [Indexed: 12/20/2022]
Abstract
Predispositional genetic testing among minor children is intensely debated due to the potential benefits and harms of providing this type of genetic information to children and their families. Existing guidelines on pediatric genetic testing state that predispositional testing could be appropriate for minors if preventive services exist that mitigate children's risk for or severity of the health condition in question. We use the example of hereditary melanoma to illustrate the rationale for and potential application of genetic risk communication for an adult-onset cancer to a pediatric population where childhood behaviors may reduce risk of disease later in life. We draw from the adult melanoma genetic risk communication and pediatric health behavior change literatures to suggest ways in which genetic test reporting and complementary education could be delivered to children who carry a hereditary risk for melanoma and their families in order to foster children's engagement in melanoma preventive behaviors. Genetic discoveries will continue to yield new opportunities to provide predispositional genetic risk information to unaffected individuals, including children, and could be delivered within programs that provide personalized and translational approaches to cancer prevention.
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Affiliation(s)
- Yelena P Wu
- Division of Public Health, Department of Family & Preventive Medicine, University of Utah, 375 Chipeta Way, Suite A, Salt Lake City, UT, 84108, USA.
- Huntsman Cancer Institute, Salt Lake City, UT, USA.
| | - Darren Mays
- Lombardi Comprehensive Cancer Center, Georgetown University, Washington, D.C, USA
| | | | - Kenneth P Tercyak
- Lombardi Comprehensive Cancer Center, Georgetown University, Washington, D.C, USA
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29
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Hay JL, Shuk E, Schofield E, Loeb R, Holland S, Burkhalter J, Li Y. Real-time sun protection decisions in first-degree relatives of melanoma patients. Health Psychol 2017; 36:907-915. [PMID: 28846008 DOI: 10.1037/hea0000523] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
OBJECTIVE Melanoma is the most serious skin cancer, and consistent use of sun protection is recommended to reduce risk. Yet sun protection use is generally inconsistent. Understanding the decisional factors driving sun protection choices could aid in intervention development to promote sun protection maintenance. METHOD In 59 first-degree relatives of melanoma patients, an interactive voice response system (IVRS) on participants' cell phones was used to assess twice daily (morning, afternoon) real-time sun protection usage (sunscreen, shade, hats, protective clothing) and decision factors (weather, type of activity, convenience, social support) over a 14-day summer interval where morning and afternoon outdoor exposures were anticipated. Generalized estimating equations and hierarchical linear models were used to examine the effect of demographics and decisional factors on sun protection choices over time. RESULTS Sun protection use was inconsistent (e.g., 61% used sunscreen inconsistently). Most strategies were used independently, with the exception of moderate overlap of sunscreen and hat usage. Decision factors were highly relevant for sun protection. For instance, sunscreen use was related to the perception of having adequate time to apply it, whereas shade and hat usage were each related to convenience. Few findings emerged by gender, age, time of day, or year. Significant within-subject variation remained, however. CONCLUSIONS The findings support continued examination of decision factors in understanding sun protection consistency in real time. Interventions where cues to action and environmental supports work together in varied settings can be developed to improve sun protection maintenance in populations at risk for this common disease. (PsycINFO Database Record
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Affiliation(s)
- Jennifer L Hay
- Department of Psychiatry & Behavioral Sciences, Memorial Sloan Kettering Cancer Center
| | - Elyse Shuk
- Department of Psychiatry & Behavioral Sciences, Memorial Sloan Kettering Cancer Center
| | - Elizabeth Schofield
- Department of Psychiatry & Behavioral Sciences, Memorial Sloan Kettering Cancer Center
| | - Rebecca Loeb
- Department of Psychiatry & Behavioral Sciences, Memorial Sloan Kettering Cancer Center
| | - Susan Holland
- Department of Psychiatry & Behavioral Sciences, Memorial Sloan Kettering Cancer Center
| | - Jack Burkhalter
- Department of Psychiatry & Behavioral Sciences, Memorial Sloan Kettering Cancer Center
| | - Yuelin Li
- Department of Psychiatry & Behavioral Sciences, Memorial Sloan Kettering Cancer Center
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30
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Johnson MM, Leachman SA, Aspinwall LG, Cranmer LD, Curiel-Lewandrowski C, Sondak VK, Stemwedel CE, Swetter SM, Vetto J, Bowles T, Dellavalle RP, Geskin LJ, Grossman D, Grossmann KF, Hawkes JE, Jeter JM, Kim CC, Kirkwood JM, Mangold AR, Meyskens F, Ming ME, Nelson KC, Piepkorn M, Pollack BP, Robinson JK, Sober AJ, Trotter S, Venna SS, Agarwala S, Alani R, Averbook B, Bar A, Becevic M, Box N, E Carson W, Cassidy PB, Chen SC, Chu EY, Ellis DL, Ferris LK, Fisher DE, Kendra K, Lawson DH, Leming PD, Margolin KA, Markovic S, Martini MC, Miller D, Sahni D, Sharfman WH, Stein J, Stratigos AJ, Tarhini A, Taylor MH, Wisco OJ, Wong MK. Skin cancer screening: recommendations for data-driven screening guidelines and a review of the US Preventive Services Task Force controversy. Melanoma Manag 2017; 4:13-37. [PMID: 28758010 PMCID: PMC5480135 DOI: 10.2217/mmt-2016-0022] [Citation(s) in RCA: 77] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2016] [Accepted: 09/07/2016] [Indexed: 02/07/2023] Open
Abstract
Melanoma is usually apparent on the skin and readily detected by trained medical providers using a routine total body skin examination, yet this malignancy is responsible for the majority of skin cancer-related deaths. Currently, there is no national consensus on skin cancer screening in the USA, but dermatologists and primary care providers are routinely confronted with making the decision about when to recommend total body skin examinations and at what interval. The objectives of this paper are: to propose rational, risk-based, data-driven guidelines commensurate with the US Preventive Services Task Force screening guidelines for other disorders; to compare our proposed guidelines to recommendations made by other national and international organizations; and to review the US Preventive Services Task Force's 2016 Draft Recommendation Statement on skin cancer screening.
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Affiliation(s)
- Mariah M Johnson
- Department of Dermatology, Oregon Health & Science University, 3303 SW Bond Ave., Portland, OR, USA.,Department of Dermatology, Oregon Health & Science University, 3303 SW Bond Ave., Portland, OR, USA
| | - Sancy A Leachman
- Department of Dermatology, Oregon Health & Science University, 3303 SW Bond Ave., Portland, OR, USA.,Department of Dermatology, Oregon Health & Science University, 3303 SW Bond Ave., Portland, OR, USA
| | - Lisa G Aspinwall
- University of Utah, Salt Lake City, UT, USA.,University of Utah, Salt Lake City, UT, USA
| | - Lee D Cranmer
- University of Washington, Seattle, WA, USA.,University of Washington, Seattle, WA, USA
| | - Clara Curiel-Lewandrowski
- University of Arizona Cancer Center, Tucson, AZ, USA.,University of Arizona Cancer Center, Tucson, AZ, USA
| | - Vernon K Sondak
- Moffitt Cancer Center, Tampa, FL, USA.,Moffitt Cancer Center, Tampa, FL, USA
| | - Clara E Stemwedel
- Oregon Health & Science University, Portland, OR, USA.,Oregon Health & Science University, Portland, OR, USA
| | - Susan M Swetter
- Stanford University Medical Center & VA Palo Alto Health Care System, Palo Alto, CA, USA.,Stanford University Medical Center & VA Palo Alto Health Care System, Palo Alto, CA, USA
| | - John Vetto
- Oregon Health & Science University, Portland, OR, USA.,Oregon Health & Science University, Portland, OR, USA
| | - Tawnya Bowles
- Intermountain Healthcare & University of Utah, Salt Lake City, UT, USA.,Intermountain Healthcare & University of Utah, Salt Lake City, UT, USA
| | - Robert P Dellavalle
- University of Colorado, Aurora, CO, USA.,University of Colorado, Aurora, CO, USA
| | - Larisa J Geskin
- Columbia University, New York, NY, USA.,Columbia University, New York, NY, USA
| | - Douglas Grossman
- University of Utah, Salt Lake City, UT, USA.,University of Utah, Salt Lake City, UT, USA
| | - Kenneth F Grossmann
- University of Utah, Salt Lake City, UT, USA.,University of Utah, Salt Lake City, UT, USA
| | - Jason E Hawkes
- University of Utah, Salt Lake City, UT, USA.,University of Utah, Salt Lake City, UT, USA
| | - Joanne M Jeter
- The Ohio State University, Columbus, OH, USA.,The Ohio State University, Columbus, OH, USA
| | - Caroline C Kim
- Harvard Medical School, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA
| | - John M Kirkwood
- University of Pittsburgh, Pittsburgh, PA, USA.,University of Pittsburgh, Pittsburgh, PA, USA
| | - Aaron R Mangold
- Mayo Clinic Arizona, Scottsdale, AZ, USA.,Mayo Clinic Arizona, Scottsdale, AZ, USA
| | - Frank Meyskens
- University of California, Irvine, Orange, CA, USA.,University of California, Irvine, Orange, CA, USA
| | - Michael E Ming
- University of Pennsylvania, Philadelphia, PA, USA.,University of Pennsylvania, Philadelphia, PA, USA
| | - Kelly C Nelson
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA.,The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Michael Piepkorn
- University of Washington, Seattle, WA, USA.,University of Washington, Seattle, WA, USA
| | - Brian P Pollack
- Emory University & Atlanta VA Medical Center, Atlanta, GA, USA.,Emory University & Atlanta VA Medical Center, Atlanta, GA, USA
| | - June K Robinson
- Northwestern University Feinberg School of Medicine, Chicago, IL USA.,Northwestern University Feinberg School of Medicine, Chicago, IL USA
| | - Arthur J Sober
- Harvard Medical School, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA
| | - Shannon Trotter
- The Ohio State University, Columbus, OH, USA.,The Ohio State University, Columbus, OH, USA
| | - Suraj S Venna
- Inova Medical Group, Fairfax, VA, USA.,Inova Medical Group, Fairfax, VA, USA
| | - Sanjiv Agarwala
- St Luke's University Hospital & Temple University, Bethlehem, PA, USA.,St Luke's University Hospital & Temple University, Bethlehem, PA, USA
| | - Rhoda Alani
- Boston University, Boston, MA, USA.,Boston University, Boston, MA, USA
| | - Bruce Averbook
- Case Western Reserve University, Cleveland, OH, USA.,Case Western Reserve University, Cleveland, OH, USA
| | - Anna Bar
- Oregon Health & Science University, Portland, OR, USA.,Oregon Health & Science University, Portland, OR, USA
| | - Mirna Becevic
- University of Missouri, Columbia, MO, USA.,University of Missouri, Columbia, MO, USA
| | - Neil Box
- University of Colorado, Aurora, CO, USA.,University of Colorado, Aurora, CO, USA
| | - William E Carson
- The Ohio State University, Columbus, OH, USA.,The Ohio State University, Columbus, OH, USA
| | - Pamela B Cassidy
- Oregon Health & Science University, Portland, OR, USA.,Oregon Health & Science University, Portland, OR, USA
| | - Suephy C Chen
- Emory University & Atlanta VA Medical Center, Atlanta, GA, USA.,Emory University & Atlanta VA Medical Center, Atlanta, GA, USA
| | - Emily Y Chu
- University of Pennsylvania, Philadelphia, PA, USA.,University of Pennsylvania, Philadelphia, PA, USA
| | - Darrel L Ellis
- Vanderbilt University, Nashville, TN, USA.,Vanderbilt University, Nashville, TN, USA
| | - Laura K Ferris
- University of Pittsburgh, Pittsburgh, PA, USA.,University of Pittsburgh, Pittsburgh, PA, USA
| | - David E Fisher
- Harvard Medical School & Massachusetts General Hospital, Charlestown, MA, USA.,Harvard Medical School & Massachusetts General Hospital, Charlestown, MA, USA
| | - Kari Kendra
- The Ohio State University, Columbus, OH, USA.,The Ohio State University, Columbus, OH, USA
| | - David H Lawson
- Winship Cancer Institute of Emory University, Atlanta, GA, USA.,Winship Cancer Institute of Emory University, Atlanta, GA, USA
| | - Philip D Leming
- The Christ Hospital, Cincinnati, OH, USA.,The Christ Hospital, Cincinnati, OH, USA
| | - Kim A Margolin
- City of Hope National Cancer Center, Duarte, CA, USA.,City of Hope National Cancer Center, Duarte, CA, USA
| | | | - Mary C Martini
- Northwestern University Feinberg School of Medicine, Chicago, IL USA.,Northwestern University Feinberg School of Medicine, Chicago, IL USA
| | - Debbie Miller
- Oregon Health & Science University, Portland, OR, USA.,Oregon Health & Science University, Portland, OR, USA
| | - Debjani Sahni
- Boston University, Boston, MA, USA.,Boston University, Boston, MA, USA
| | - William H Sharfman
- Johns Hopkins University, Baltimore, MD.,Johns Hopkins University, Baltimore, MD
| | - Jennifer Stein
- NYU Langone Medical Center, New York, NY, USA.,NYU Langone Medical Center, New York, NY, USA
| | - Alexander J Stratigos
- Department of Dermatology, University of Athens, Andreas Sygros Hospital, Athens, Greece.,Department of Dermatology, University of Athens, Andreas Sygros Hospital, Athens, Greece
| | - Ahmad Tarhini
- University of Pittsburgh, Pittsburgh, PA, USA.,University of Pittsburgh, Pittsburgh, PA, USA
| | - Matthew H Taylor
- Oregon Health & Science University, Portland, OR, USA.,Oregon Health & Science University, Portland, OR, USA
| | - Oliver J Wisco
- Bend Memorial Clinic, Bend, OR, USA.,Bend Memorial Clinic, Bend, OR, USA
| | - Michael K Wong
- University of Texas MD Anderson Cancer Center, Houston, TX, USA.,University of Texas MD Anderson Cancer Center, Houston, TX, USA
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Bowen DJ, Albrecht T, Hay J, Eggly S, Harris-Wei J, Meischke H, Burke W. Communication Among Melanoma Family Members. JOURNAL OF HEALTH COMMUNICATION 2017; 22:198-204. [PMID: 28248624 PMCID: PMC5592097 DOI: 10.1080/10810730.2016.1259374] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
Interventions to improve communication among family members may facilitate information flow about familial risk and preventive health behaviors. This is a secondary analysis of the effects of an interactive website intervention aimed at increasing communication frequency and agreement about health risk among melanoma families. Participants were family units, consisting of one family member with melanoma identified from a previous research study (the Case) and an additional first degree relative and a parent of a child 0-17. Family triads were randomized to receive access to the website intervention or to serve as control families. Family communication frequency and agreement about melanoma prevention behaviors and beliefs were measured at baseline and again at 1 year post randomization. Intervention participants of all three types significantly increased the frequency of communication to their first degree relatives (Parents, siblings, children; range = 14-18 percentage points; all p < .05). At baseline, approximately two-thirds of all three family members talked with at least some member of the family about cancer risk. Agreement between Cases and First Degree Relatives and between Cases and Parents increased from pre to post intervention in the intervention participants compared to the control participants (p < .05). These findings provide support for interventions to improve family communication about cancer risk.
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Affiliation(s)
- Deborah J Bowen
- a Department of Bioethics and Humanities , University of Washington , Seattle , Washington , USA
| | - Terrance Albrecht
- b Department of Communication and Behavioral Oncology , Karamos Cancer Institute, Wayne State University , Detroit , Michigan , USA
| | - Jennifer Hay
- c Department of Psychiatry and Behavioral Sciences , Memorial Sloan Kettering Cancer Center , New York , New York , USA
| | - Susan Eggly
- b Department of Communication and Behavioral Oncology , Karamos Cancer Institute, Wayne State University , Detroit , Michigan , USA
| | - Julie Harris-Wei
- d Institute for Public Health Genetics, University of California San Francisco , San Francisco , California , USA
| | - Hendrika Meischke
- e Department of Health Services , University of Washington , Seattle , Washington , USA
| | - Wylie Burke
- a Department of Bioethics and Humanities , University of Washington , Seattle , Washington , USA
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Tripp MK, Peterson SK, Prokhorov AV, Shete SS, Lee JE, Gershenwald JE, Gritz ER. Correlates of Sun Protection and Sunburn in Children of Melanoma Survivors. Am J Prev Med 2016; 51:e77-85. [PMID: 27067306 PMCID: PMC5482415 DOI: 10.1016/j.amepre.2016.02.032] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2015] [Revised: 02/04/2016] [Accepted: 02/26/2016] [Indexed: 12/18/2022]
Abstract
INTRODUCTION Sunburns during childhood increase melanoma risk. Children of melanoma survivors are at higher risk, but little is known about their sunburn and sun protection. One study showed that almost half of melanoma survivors' children experienced sunburn in the past year. This study evaluated sunburn and sun protection in melanoma survivors' children, and relevant survivor characteristics from Social Cognitive Theory and the Health Belief Model. METHODS Melanoma survivors (N=340) were recruited from a comprehensive cancer center. Survivors completed a baseline questionnaire administered by telephone to report on the behavior of their children (N=340) as part of an RCT of a sun protection intervention. Data were collected in 2008 and analyzed in 2015. RESULTS In the prior 6 months, 28% of children experienced sunburn. "Always" or "frequent" sun protection varied by behavior: sunscreen, 69%; lip balm, 15%; wide-brimmed hats, 9%; sleeved shirts, 28%; pants, 48%; sunglasses, 10%; shade, 33%; and limiting time outdoors, 45%. Survivors' sunburn and sun protection were positively associated with these outcomes in children. Correlates of sunburn also included older child age and higher risk perceptions. Correlates of sun protection behaviors included younger child age; stronger intentions, higher self-efficacy, and more positive outcome expectations about sun protection; and greater number of melanomas in survivors. CONCLUSIONS Melanoma survivors may have a heightened awareness of the importance of their children's sun protection, but their children are not routinely protected. Correlates of children's sunburn and sun protection suggest subgroups of survivors to target with interventions to improve sun protection.
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Affiliation(s)
- Mary K Tripp
- Department of Behavioral Science, The University of Texas MD Anderson Cancer Center, Houston, Texas.
| | - Susan K Peterson
- Department of Behavioral Science, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Alexander V Prokhorov
- Department of Behavioral Science, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Sanjay S Shete
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Jeffrey E Lee
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Jeffrey E Gershenwald
- Departments of Surgical Oncology and Cancer Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Ellen R Gritz
- Department of Behavioral Science, The University of Texas MD Anderson Cancer Center, Houston, Texas
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Wu YP, Aspinwall LG, Conn BM, Stump T, Grahmann B, Leachman SA. A systematic review of interventions to improve adherence to melanoma preventive behaviors for individuals at elevated risk. Prev Med 2016; 88:153-67. [PMID: 27090434 PMCID: PMC4902721 DOI: 10.1016/j.ypmed.2016.04.010] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2016] [Revised: 04/07/2016] [Accepted: 04/12/2016] [Indexed: 12/20/2022]
Abstract
BACKGROUND AND OBJECTIVES To examine the effectiveness of behavioral interventions for melanoma prevention targeted to individuals at elevated risk due to personal and/or family history. METHODS Through literature searches in 5 search databases (through July 2014), 20 articles describing 14 unique interventions focused on melanoma prevention among individuals at elevated risk for the disease were identified. Interventions targeting only patients undergoing active treatment for melanoma were excluded. RESULTS The average study quality was moderate. The majority of interventions (6 out of 9, 66% of studies) led to improvements in one or more photoprotective behaviors, particularly for improvements in use of protective clothing (3 out of 5, 60% of studies), and frequency and/or thoroughness of skin self-examinations (9 out of 12, 75%). Fewer interventions (5 out of 14, 36%) targeted uptake of total body skin examinations (60% led to improvements). Also, fewer interventions targeted all three preventive behaviors (5 out of 14, 36%). CONCLUSIONS Findings suggest that future interventions should aim to improve adherence across multiple preventive behaviors, over a longer time period (past 8months post-intervention), and target high-risk children. Studies should include adequate sample sizes to investigate moderators and mediators of intervention effectiveness. Interventions may be strengthened by new techniques, such as incorporating family members (e.g., to improve thoroughness of skin self-examinations) and eHealth technology.
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Affiliation(s)
- Yelena P Wu
- Division of Public Health, Department of Family and Preventive Medicine, University of Utah, USA; Huntsman Cancer Institute, USA.
| | - Lisa G Aspinwall
- Huntsman Cancer Institute, USA; Department of Psychology, University of Utah, USA
| | - Bridgid M Conn
- Department of Pediatrics, Division of Adolescent and Young Adult Medicine, Children's Hospital Los Angeles, USA
| | - Tammy Stump
- Department of Psychology, University of Utah, USA
| | - Bridget Grahmann
- Division of Public Health, Department of Family and Preventive Medicine, University of Utah, USA
| | - Sancy A Leachman
- Huntsman Cancer Institute, USA; Department of Dermatology, Oregon Health & Science University, USA
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Soura E, Eliades PJ, Shannon K, Stratigos AJ, Tsao H. Hereditary melanoma: Update on syndromes and management: Genetics of familial atypical multiple mole melanoma syndrome. J Am Acad Dermatol 2016; 74:395-407; quiz 408-10. [PMID: 26892650 DOI: 10.1016/j.jaad.2015.08.038] [Citation(s) in RCA: 118] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2015] [Revised: 07/29/2015] [Accepted: 08/03/2015] [Indexed: 12/20/2022]
Abstract
Malignant melanoma is considered the most lethal skin cancer if it is not detected and treated during its early stages. About 10% of melanoma patients report a family history of melanoma; however, individuals with features of true hereditary melanoma (ie, unilateral lineage, multigenerational, multiple primary lesions, and early onset of disease) are in fact quite rare. Although many new loci have been implicated in hereditary melanoma, CDKN2A mutations remain the most common. Familial melanoma in the presence of multiple atypical nevi should raise suspicion for a germline CDKN2A mutation. These patients have a high risk of developing multiple primary melanomas and internal organ malignancies, especially pancreatic cancer; therefore, a multidisciplinary approach is necessary in many cases. The value of dermoscopic examination and total body photography performed at regular intervals has been suggested by a number of studies, and should therefore be considered for these patients and their first-degree relatives. In addition, genetic counseling with the possibility of testing can be a valuable adjunct for familial melanoma patients. This must be performed with care, however, and only by qualified individuals trained in cancer risk analysis.
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Affiliation(s)
- Efthymia Soura
- 1st Department of Dermatology, University Clinic, "Andreas Sygros" Hospital, Athens, Greece
| | - Philip J Eliades
- Department of Dermatology, Wellman Center for Photomedicine, Massachusetts General Hospital, Boston, Massachusetts; Tufts University School of Medicine, Boston, Massachusetts
| | - Kristen Shannon
- Melanoma Genetics Program/MGH Cancer Center, Massachusetts General Hospital, Boston, Massachusetts
| | - Alexander J Stratigos
- 1st Department of Dermatology, University Clinic, "Andreas Sygros" Hospital, Athens, Greece
| | - Hensin Tsao
- Department of Dermatology, Wellman Center for Photomedicine, Massachusetts General Hospital, Boston, Massachusetts; Melanoma Genetics Program/MGH Cancer Center, Massachusetts General Hospital, Boston, Massachusetts.
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Zapolska J, Hay J, Li Y, Orlow I, Begg CB, Berwick M. Patterns and sources of information about family melanoma risk among melanoma survivors. Melanoma Manag 2016; 3:105-111. [PMID: 30190879 DOI: 10.2217/mmt-2015-0003] [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: 12/01/2015] [Accepted: 02/02/2016] [Indexed: 11/21/2022] Open
Abstract
AIM Melanoma survivors can play a pivotal role in raising family melanoma risk awareness, but are not always aware of family risk. This study examines patterns and sources of survivors' awareness that first-degree relatives (FDRs) face heightened melanoma risk. PATIENTS & METHODS Population-based melanoma survivors (n = 170) completed a 15-min telephone interview. Logistic regressions examining covariates were conducted using awareness (yes vs no) of heightened risk to FDRs as the dependent variable. RESULTS Almost half (41%) were unaware that their FDRs faced heightened melanoma risk. Of those 59% who were aware, most learned this from dermatologists. In multivariable analyses perceived risk and body site remained significant. CONCLUSION Many melanoma survivors remain unaware that their FDRs are at melanoma risk. The results underscore the role that dermatologists and other doctors play in fostering risk awareness. Sensitivity to providing family risk information to survivors who have lower risk perceptions, regardless of anatomic site, is warranted.
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Affiliation(s)
- Justyna Zapolska
- John Jay College of Criminal Justice, City University of New York, 524 West 59th Street, 10th Floor, New York, NY 10019, USA.,New York University Lutheran Medical Center, 5616 6th Avenue, Brooklyn, New York, NY 11215, USA.,John Jay College of Criminal Justice, City University of New York, 524 West 59th Street, 10th Floor, New York, NY 10019, USA.,New York University Lutheran Medical Center, 5616 6th Avenue, Brooklyn, New York, NY 11215, USA
| | - Jennifer Hay
- Memorial Sloan Kettering Cancer Center, 641 Lexington Avenue, 7th Floor New York, NY 10022, USA.,Memorial Sloan Kettering Cancer Center, 641 Lexington Avenue, 7th Floor New York, NY 10022, USA
| | - Yuelin Li
- Memorial Sloan Kettering Cancer Center, 641 Lexington Avenue, 7th Floor New York, NY 10022, USA.,Memorial Sloan Kettering Cancer Center, 641 Lexington Avenue, 7th Floor New York, NY 10022, USA
| | - Irene Orlow
- Memorial Sloan Kettering Cancer Center, 485 Lexington Avenue, 2nd Floor New York, NY 10017, USA.,Memorial Sloan Kettering Cancer Center, 485 Lexington Avenue, 2nd Floor New York, NY 10017, USA
| | - Colin B Begg
- Memorial Sloan Kettering Cancer Center, 485 Lexington Avenue, 2nd Floor New York, NY 10017, USA.,Memorial Sloan Kettering Cancer Center, 485 Lexington Avenue, 2nd Floor New York, NY 10017, USA
| | - Marianne Berwick
- University of New Mexico Health Sciences Center, 1 University of New Mexico, MSC10-5550, Albuquerque, NM 87131, USA.,University of New Mexico Health Sciences Center, 1 University of New Mexico, MSC10-5550, Albuquerque, NM 87131, USA
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Miura K, Zens MS, Peart T, Holly EA, Berwick M, Gallagher RP, Mack TM, Elwood JM, Karagas MR, Green AC. Alcohol consumption and risk of melanoma among women: pooled analysis of eight case-control studies. Arch Dermatol Res 2015; 307:819-28. [PMID: 26179744 PMCID: PMC7470176 DOI: 10.1007/s00403-015-1591-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2015] [Revised: 06/24/2015] [Accepted: 07/01/2015] [Indexed: 10/23/2022]
Abstract
While alcohol consumption is known to increase the risk of several types of cancer, evidence regarding the association between alcohol and melanoma is inconclusive. This pooled analysis was conducted to examine total alcohol consumption (grams per day), and type of alcohol consumed (beer, wine, beer and wine combined, and liquor) in relation to melanoma among women using original data from eight completed case-control studies (1886 cases and 2113 controls), with adjustment for the potential confounding effects of sun exposure-related factors. We found a positive association with ever consuming alcohol [adjusted pooled odds ratio (pOR) 1.3, 95 % confidence interval (CI) 1.1-1.5]. Specifically the pORs were 1.4 (95 % CI 1.1-1.8) for wine, 1.1 (95 % CI 0.9-1.5) for beer and 1.2 (95 % CI 1.0-1.4) for liquor. However, the pOR for the highest fourth of consumption compared with never consumption was 1.0 (95 % CI 0.7-1.3) without evidence of a trend with increasing amount of total alcohol, or separately with amount of beer, wine or liquor consumed. Stratifying by anatomic site of lesion, number of nevi, age group, or histologic subtype did not alter these results. Although the results showed a weak positive association between ever consuming alcohol and melanoma occurrence, our findings do not provide strong support for the hypothesis that alcohol consumption plays a role in the development of melanoma in women.
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Affiliation(s)
- Kyoko Miura
- Cancer and Population Studies Group, QIMR Berghofer Medical Research Institute, 300 Herston Road, Herston, QLD, Australia.
| | - Michael S Zens
- Department of Epidemiology, Geisel School of Medicine, Hanover, NH, 03755, USA
| | - Tessa Peart
- Department of Epidemiology, Geisel School of Medicine, Hanover, NH, 03755, USA
| | - Elizabeth A Holly
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Marianne Berwick
- Department of Internal Medicine, University of New Mexico, Albuquerque, NM, USA
| | | | - Thomas M Mack
- Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA
| | - J Mark Elwood
- Department of Epidemiology and Biostatistics, School of Population Health, University of Auckland, Auckland, New Zealand
| | - Margaret R Karagas
- Department of Epidemiology, Geisel School of Medicine, Hanover, NH, 03755, USA
| | - Adèle C Green
- Cancer and Population Studies Group, QIMR Berghofer Medical Research Institute, 300 Herston Road, Herston, QLD, Australia
- Cancer Research UK Manchester Institute and University of Manchester, Manchester, UK
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Ward SV, Dowty JG, Webster RJ, Cadby G, Glasson EJ, Heyworth JS, Emery J, Cole JM, Millward MJ, Wood FM, Palmer LJ. The aggregation of early-onset melanoma in young Western Australian families. Cancer Epidemiol 2015; 39:346-52. [PMID: 25843692 DOI: 10.1016/j.canep.2015.03.007] [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: 10/27/2014] [Revised: 02/11/2015] [Accepted: 03/12/2015] [Indexed: 11/17/2022]
Abstract
BACKGROUND Few studies have examined the familial aggregation of melanoma or its co-aggregation with other cancers using whole-population based designs. This study aimed to investigate aggregation patterns in young Western Australian families, using population-based linked health data to identify individuals born in Western Australia between 1974 and 2007, their known relatives, and all incident cancer diagnoses within the resulting 1,506,961 individuals. METHODS Cox proportional hazards regression models were used to compare the risk of melanoma for first-degree relatives of melanoma cases to that for first-degree relatives of controls, with bootstrapping used to account for correlations within families. The risk of (i) developing melanoma based on the number of first-degree relatives with other cancers, and (ii) developing non-melanoma cancers based on the number of first-degree relatives diagnosed with melanoma was also investigated. RESULTS First-degree relatives of melanoma cases had a significantly greater incidence of melanoma than first-degree relatives of individuals not affected with melanoma (Hazard Ratio (HR)=3.58, 95% bootstrap confidence interval (CI): 2.43-5.43). Sensitivity analyses produced a higher hazard ratio estimate when restricted to melanoma cases diagnosed before 40 years of age (HR=3.77, bootstrap 95% CI: 2.49-6.39) and a lower estimate when only later-onset cases (>40 years) were considered (HR=2.45, bootstrap 95% CI: 1.23-4.82). No significant evidence was found for co-aggregation between melanoma and any other cancers. CONCLUSIONS Results indicated a strong familial basis of melanoma, with the higher than expected hazard ratio observed likely to reflect early-age at onset cases in this young cohort, supported by the results of the sensitivity analyses. Exploratory analyses suggested that the determinants of melanoma causing the observed aggregation within families may be independent of other malignancies, although these analyses were limited by the young age of the sample. Determining familial aggregation patterns will provide valuable knowledge regarding improved clinical risk prediction and the underlying biological mechanisms of melanoma and other cancers.
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Affiliation(s)
- S V Ward
- Centre for Genetic Origins of Health and Disease, The University of Western Australia, Crawley, Western Australia, Australia.
| | - J G Dowty
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Melbourne, Victoria, Australia
| | - R J Webster
- Laboratory for Cancer Medicine, Harry Perkins Institute for Medical Research and Centre for Medical Research, The University of Western Australia, Crawley, Western Australia, Australia
| | - G Cadby
- Centre for Genetic Origins of Health and Disease, The University of Western Australia, Crawley, Western Australia, Australia
| | - E J Glasson
- Telethon Kids Institute, Subiaco, Western Australia, Australia
| | - J S Heyworth
- School of Population Health, The University of Western Australia, Crawley, Western Australia, Australia
| | - J Emery
- Department of General Practice, The University of Melbourne, Melbourne, Victoria, Australia
| | - J M Cole
- St John of God Dermatology, St John of God Health Care, Subiaco, Perth, Western Australia, Australia
| | - M J Millward
- School of Medicine and Pharmacology, The University of Western Australia, Crawley, Western Australia, Australia
| | - F M Wood
- Burn Injury Research Unit, The University of Western Australia, Crawley, Western Australia, Australia; Fiona Wood Foundation, Telstra Burns Reconstruction and Rehabilitation Unit, Royal Perth Hospital, Perth, Western Australia, Australia
| | - L J Palmer
- Joanna Briggs Institute and School of Translational Health Science, University of Adelaide, Adelaide, South Australia, Australia
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Fitzpatrick L, Hay JL. Barriers to risk-understanding and risk-reduction behaviors among individuals with a family history of melanoma. Melanoma Manag 2014; 1:185-191. [PMID: 30190823 DOI: 10.2217/mmt.14.24] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Family members of melanoma patients are often called upon to provide support, ranging from monetary to medical assistance. Consanguineal relatives of melanoma patients are also at greater risk of developing the disease themselves. However, as a group, they have limited understanding of their melanoma risk and they demonstrate inadequate primary and secondary prevention behaviors. The optimal intervention strategies for improving the consistent use of such behaviors (i.e., improving rates of sun-protection behaviors and screening) remains unclear, necessitating further research.
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Affiliation(s)
- Laura Fitzpatrick
- Weill Cornell Medical College, 1300 York Avenue, New York, NY 10065, USA.,Weill Cornell Medical College, 1300 York Avenue, New York, NY 10065, USA
| | - Jennifer L Hay
- Weill Cornell Medical College, 1300 York Avenue, New York, NY 10065, USA.,Memorial Sloan Kettering Cancer Center, 641 Lexington Avenue, Seventh Floor, New York, NY 10022, USA.,Weill Cornell Medical College, 1300 York Avenue, New York, NY 10065, USA.,Memorial Sloan Kettering Cancer Center, 641 Lexington Avenue, Seventh Floor, New York, NY 10022, USA
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Avril MF, Bahadoran P, Cabaret O, Caron O, de la Fouchardière A, Demenais F, Desjardins L, Frébourg T, Hammel P, Leccia MT, Lesueur F, Mahé E, Martin L, Maubec E, Remenieras A, Richard S, Robert C, Soufir N, Stoppa-Lyonnet D, Thomas L, Vabres P, Bressac-de Paillerets B. [Recommendations for genetic testing and management of individuals genetically at-risk of cutaneous melanoma]. Ann Dermatol Venereol 2014; 142:26-36. [PMID: 25600792 DOI: 10.1016/j.annder.2014.09.606] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2014] [Revised: 07/08/2014] [Accepted: 09/01/2014] [Indexed: 11/19/2022]
Abstract
Cutaneous melanoma is a multifactorial disease resulting from both environmental and genetic factors. Five susceptibility genes have been identified over the past years, comprising high-risk susceptibility genes (CDKN2A, CDK4, and BAP1 genes) and intermediate-risk susceptibility genes (MITF, and MC1R genes). The aim of this expert consensus was to define clinical contexts justifying genetic analyses, to describe the conduct of these analyses, and to propose surveillance recommendations. Given the regulatory constraints, it is recommended that dermatologists work in tandem with a geneticist. Genetic analysis may be prescribed when at least two episodes of histologically proven invasive cutaneous melanoma have been diagnosed before the age of 75 years in two 1st or 2nd degree relatives or in the same individual. The occurrence in the same individual or in a relative of invasive cutaneous melanoma with ocular melanoma, pancreatic cancer, renal cancer, mesothelioma or a central nervous system tumour are also indications for genetic testing. Management is based upon properly managed photoprotection and dermatological monitoring according to genetic status. Finally, depending on the mutated gene and the familial history, associated tumour risks require specific management (e.g. ocular melanoma, pancreatic cancer). Due to the rapid progress in genetics, these recommendations will need to be updated regularly.
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Affiliation(s)
- M-F Avril
- Service de dermatologie, groupe hospitalier Cochin-Saint-Vincent-de-Paul, AP-HP, pavillon Tarnier, 89, rue d'Assas, 75006 Paris, France
| | - P Bahadoran
- Inserm U895, service de dermatologie, hôpital Archet 2, CHU, 151, route Saint-Antoine-Ginestiere, BP 79, 06200 Nice cedex 3, France
| | - O Cabaret
- Service de génétique, département de biologie et pathologie médicales, Gustave-Roussy, 114, rue Édouard-Vaillant, 94805 Villejuif cedex, France
| | - O Caron
- Consultation d'oncogénétique, Gustave-Roussy, 114, rue Édouard-Vaillant, 94805 Villejuif, France
| | - A de la Fouchardière
- Département de biopathologie, centre Léon-Bérard, 28, rue Laennec, 69008 Lyon, France
| | - F Demenais
- Inserm, UMR946, variabilité génétique et maladies humaines, fondation Jean-Dausset, CEPH, 27, rue Juliette-Dodu, 75010 Paris, France
| | - L Desjardins
- Service d'ophtalmologie, institut Curie, 26, rue d'Ulm, 75231 Paris cedex 05, France
| | - T Frébourg
- Inserm U1079, service de génétique, CHU de Rouen, IRIB, faculté de médecine et de pharmacie, 22, boulevard Gambetta, 76183 Rouen cedex, France
| | - P Hammel
- Service de gastro-entérologie-pancréatologie, hôpital Beaujon, AP-HP, 100, boulevard du Général-Leclerc, 92118 Clichy cedex, France
| | - M-T Leccia
- Service de dermatologie, CHU Michallon, BP 217, 38043 Grenoble cedex 9, France
| | - F Lesueur
- Inserm U900, équipe épidémiologie génétique des cancers, institut Curie, 26, rue d'Ulm, 75248 Paris cedex 05, France
| | - E Mahé
- Service de dermatologie, centre hospitalier Victor-Dupouy, 69, rue du Lieutenant-Colonel-Prud'hon, 95107 Argenteuil cedex, France
| | - L Martin
- Service de dermatologie, CHU d'Angers, université d'Angers, 4, rue Larrey, 49933 Angers cedex 9, France
| | - E Maubec
- Inserm, UMR946, variabilité génétique et maladies humaines, fondation Jean-Dausset, CEPH, 27, rue Juliette-Dodu, 75010 Paris, France; Service de dermatologie, hôpital Bichat, AP-HP, 46, rue Henri-Huchard, 75018 Paris, France
| | - A Remenieras
- Département d'oncologie génétique, institut Paoli-Calmettes, 232, boulevard Saint-Marguerite, 13273 Marseille cedex 9, France
| | - S Richard
- Service d'urologie, hôpital Bicêtre, Centre expert national cancers rares INCa PREDIR, 78, rue du Général-Leclerc, 94275 Le Kremlin-Bicêtre cedex, France
| | - C Robert
- Service de dermatologie, Gustave-Roussy, 114, rue Édouard-Vaillant, 94805 Villejuif, France
| | - N Soufir
- Inserm U976, laboratoire de génétique moléculaire, unité fonctionnelle de génétique, hôpital Xavier-Bichat-Claude-Bernard, AP-HP, Paris 7 université, 75018 Paris, France
| | - D Stoppa-Lyonnet
- Inserm U830, service de génétique, département de biologie des tumeurs, institut Curie, 26, rue d'Ulm, 75231 Paris cedex 05, France
| | - L Thomas
- Service de dermatologie, centre hospitalier Lyon Sud, université Lyon 1, 165, chemin du Grand-Revoyet, 69495 Pierre-Bénite cedex, France
| | - P Vabres
- Service de dermatologie, CHU de Dijon, BP 77908, 21079 Dijon cedex, France
| | - B Bressac-de Paillerets
- Service de génétique, département de biologie et pathologie médicales, Gustave-Roussy, 114, rue Édouard-Vaillant, 94805 Villejuif cedex, France.
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Multiple primary (even in situ) melanomas in a patient pose significant risk to family members. Eur J Cancer 2014; 50:2659-67. [PMID: 25103454 DOI: 10.1016/j.ejca.2014.07.007] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2014] [Revised: 06/14/2014] [Accepted: 07/07/2014] [Indexed: 11/24/2022]
Abstract
BACKGROUND We aimed at assessing familial risk of melanoma by considering a detailed family history of multiple primary (invasive/in situ) melanomas (MPM), stratified by histology and location. METHODS Among 65,429 melanoma patients diagnosed in 1958-2010 in the Swedish Family-Cancer Database, there were 4248 patients with familial melanoma. A detailed family history of MPM was investigated by number of melanomas in one first-degree relative (FDR) and in ⩾2 FDRs. Familial melanoma risk was assessed by standardised incidence ratios (SIRs) comparing those with family history of melanoma to those without. Combining invasive/in situ melanoma was due to essentially identical familial risks. RESULTS For one affected FDR, familial risk increased from SIR=2.2 (95% confidence interval (CI)=2.2-2.3) for single melanoma to 16.3 (9.5-26.1) for ⩾5 melanomas, while for ⩾2 affected FDRs, the risk increased from 5.5 (4.8-6.2) for single melanoma to 23.9 (13.6-38.8) for ⩾2 melanomas. Significantly higher familial risks for superficial spreading melanoma (SSM) [2.5 (2.3-2.6)] than lentigo maligna melanoma (LMM) [1.8 (1.6-2.1)], and for multiple parts [5.3 (3.1-8.4)] and trunk [2.6 (2.5-2.8)] than head/neck [2.0 (1.8-2.2)] were observed. Only at head/neck, significantly higher risk for SSM [2.4 (1.9-3.0)] than LMM [1.6 (1.4-1.8)] was noted. CONCLUSION We found, for the first time, that familial risks were similar for two/three melanomas in one FDR or for a single melanoma in ⩾2 FDRs and, higher familial risks for SSM than LMM occurred only at head/neck. This study provides new evidence for genetic counselling in melanoma, suggesting the need for considering not only the number of affected family members but also the diagnosis of MPM (even in situ) in relatives.
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Gritz ER, Tripp MK, Peterson SK, Prokhorov AV, Shete SS, Urbauer DL, Fellman BM, Lee JE, Gershenwald JE. Randomized controlled trial of a sun protection intervention for children of melanoma survivors. Cancer Epidemiol Biomarkers Prev 2014; 22:1813-24. [PMID: 24097199 DOI: 10.1158/1055-9965.epi-13-0249] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND We studied whether a melanoma survivor-centered intervention was more effective than materials available to the general public in increasing children's sun protection. METHODS In a randomized controlled trial, melanoma survivors (n = 340) who had a child ≤ 12 years received a targeted sun protection intervention (DVD and booklets) or standard education. Primary outcomes were children's sunburns, children's sun protection, and survivors' psychosocial factors at baseline and postintervention (1 and 4 months). RESULTS The intervention increased children's sunscreen reapplication at 1 month (P = 0.002) and use of wide-brimmed hats at 4 months (P = 0.045). There were no effects on other behaviors or sunburns. The intervention improved survivors' hats/clothing self-efficacy at both follow-up assessments (P = 0.026, 0.009). At 4 months, the intervention improved survivors' clothing intentions (P = 0.029), knowledge (P = 0.010), and outcome expectations for hats (P = 0.002) and clothing (P = 0.037). Children's sun protection increased with survivors' intervention use. The intervention was less effective in survivors who were female or who had a family history, older children, or children with higher baseline sun protection scores. CONCLUSIONS A melanoma survivor-centered sun protection intervention can improve some child and survivor outcomes. The intervention may be more effective in survivors who have younger children or less experience with sun protection. Intervention delivery must be enhanced to maximize use. IMPACT This is the first study to examine a sun protection intervention for children of melanoma survivors. Findings will guide interventions for this important population at increased melanoma risk.
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Affiliation(s)
- Ellen R Gritz
- Authors' Affiliation: The University of Texas MD Anderson Cancer Center, Houston, Texas
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Etzkorn JR, Parikh RP, Marzban SS, Law K, Davis AH, Rawal B, Schell MJ, Sondak VK, Messina JL, Rendina LE, Zager JS, Lien MH. Identifying risk factors using a skin cancer screening program. Cancer Control 2014; 20:248-54. [PMID: 24077401 DOI: 10.1177/107327481302000402] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND The incidence of melanoma and nonmelanoma skin cancer continues to increase. To detect lesions at an earlier phase in their progression, skin cancer screening programs have been advocated by some. However, the effectiveness of skin cancer screening and the ideal population that these screenings should target have yet to be firmly established. This study details the relationship of a group of well-known risk factors with presumptive diagnoses in a large series of individuals self-referred for free skin cancer screening. METHODS Data obtained during 2007 to 2010 from a descriptive cross-sectional study skin cancer screening program are presented. Participant history was recorded using standardized medical history forms prior to skin examination. Screeners conducted a skin examination varying from whole-body to limited areas (per participant preference) and recorded diagnoses. Diagnoses were assigned to the nonmelanoma cancer (NMC) or suspicious pigmented lesion group for analysis. RESULTS A presumptive diagnosis of NMC was associated with male sex, age ≥ 50 years, personal history of skin cancer, lower skin phototype, increased sunscreen use, and increased chronic sun exposure (all P values ≤ .0001). After controlling for skin phototype, increased sunscreen use was not associated with a presumptive diagnosis of NMC (P = .96). Presumptive diagnosis of a suspicious pigmented lesion was associated with a reported history of "changing mole" (P < .0001) and negatively associated with age ≥ 50 years (P < .0001) and a personal history of skin cancer (P = .0119). CONCLUSIONS Several known risk factors for nonmelanoma skin cancer correlated with a presumptive diagnosis of NMC. The yield of presumptive atypical pigmented lesions was increased in participants aged < 50 years, supporting the notion that this population may benefit from screening.
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Affiliation(s)
- Jeremy R Etzkorn
- University of South Florida, College of Medicine, Department of Dermatology and Cutaneous Surgery, Tampa, FL 33612, USA.
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Usher-Smith JA, Emery J, Kassianos AP, Walter FM. Risk prediction models for melanoma: a systematic review. Cancer Epidemiol Biomarkers Prev 2014; 23:1450-63. [PMID: 24895414 DOI: 10.1158/1055-9965.epi-14-0295] [Citation(s) in RCA: 80] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Melanoma incidence is increasing rapidly worldwide among white-skinned populations. Earlier diagnosis is the principal factor that can improve prognosis. Defining high-risk populations using risk prediction models may help targeted screening and early detection approaches. In this systematic review, we searched Medline, EMBASE, and the Cochrane Library for primary research studies reporting or validating models to predict risk of developing cutaneous melanoma. A total of 4,141 articles were identified from the literature search and six through citation searching. Twenty-five risk models were included. Between them, the models considered 144 possible risk factors, including 18 measures of number of nevi and 26 of sun/UV exposure. Those most frequently included in final risk models were number of nevi, presence of freckles, history of sunburn, hair color, and skin color. Despite the different factors included and different cutoff values for sensitivity and specificity, almost all models yielded sensitivities and specificities that fit along a summary ROC with area under the ROC (AUROC) of 0.755, suggesting that most models had similar discrimination. Only two models have been validated in separate populations and both also showed good discrimination with AUROC values of 0.79 (0.70-0.86) and 0.70 (0.64-0.77). Further research should focus on validating existing models rather than developing new ones.
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Affiliation(s)
- Juliet A Usher-Smith
- The Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom;
| | - Jon Emery
- The Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom; General Practice and Primary Care Academic Centre, University of Melbourne, Melbourne; and School of Primary, Aboriginal, and Rural Health Care, University of Western Australia, Crawley, Australia
| | - Angelos P Kassianos
- The Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Fiona M Walter
- The Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom; General Practice and Primary Care Academic Centre, University of Melbourne, Melbourne; and School of Primary, Aboriginal, and Rural Health Care, University of Western Australia, Crawley, Australia
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Kvaskoff M, Han J, Qureshi AA, Missmer SA. Pigmentary traits, family history of melanoma and the risk of endometriosis: a cohort study of US women. Int J Epidemiol 2014; 43:255-63. [PMID: 24343850 PMCID: PMC3937978 DOI: 10.1093/ije/dyt235] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/16/2013] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND Endometriosis has been associated with a higher risk of cutaneous melanoma, but the mechanisms underlying this association are unknown.Some constitutional factors known to influence melanoma risk have been associated with endometriosis in some retrospective studies. However, prospective data are scarce, and more research is needed to confirm this potentially novel endometriosis risk profile. METHODS To investigate the relationships between pigmentary traits, family history of melanoma and endometriosis risk, we analysed data from the Nurses’ Health Study II, a cohort of 116 430 female US nurses aged 25–42 years at inclusion in 1989. Data were collected every 2 years with 20 years of follow-up for these analyses. We used Cox proportional hazards regression models to compute relative risks(RRs) and 95% confidence intervals (CIs). RESULTS During 1 212 499 woman-years of follow-up, 4763 cases of laparoscopically-confirmed endometriosis were reported among premenopausal Caucasian women. Endometriosis risk was increased with presence of naevi on the lower legs (RR=1.08, 95% CI=1.021.14) and higher level of skin’s burning reaction to sun exposure in childhood/adolescence (‘burn with blisters’: RR=1.20,95% CI=1.061.36) compared with ‘practically none’;P(trend)=0.0006) and family history of melanoma (RR=1.13, 95%CI=1.011.26). CONCLUSION This assessment reports modest associations between several pigmentary traits, family history of melanoma and endometriosis risk,corroborating the results from previous retrospective studies. Our findings call for further research to better understand the mechanisms under lying these associations.
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Affiliation(s)
- Marina Kvaskoff
- Channing Division of Network Medicine, Department of Medicine, Brigham & Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA, Inserm U1018, Centre for Research in Epidemiology and Population Health (CESP), Institut Gustave Roussy,Villejuif, France, Université Paris Sud 11, UMRS 1018, Villejuif, France, Cancer Control Group, Queensland Institute of Medical Research, Herston, QLD, Australia, Department of Dermatology, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA, Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA and Department of Obstetrics, Gynecology, and Reproductive Biology, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Jiali Han
- Channing Division of Network Medicine, Department of Medicine, Brigham & Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA, Inserm U1018, Centre for Research in Epidemiology and Population Health (CESP), Institut Gustave Roussy,Villejuif, France, Université Paris Sud 11, UMRS 1018, Villejuif, France, Cancer Control Group, Queensland Institute of Medical Research, Herston, QLD, Australia, Department of Dermatology, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA, Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA and Department of Obstetrics, Gynecology, and Reproductive Biology, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Abrar A Qureshi
- Channing Division of Network Medicine, Department of Medicine, Brigham & Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA, Inserm U1018, Centre for Research in Epidemiology and Population Health (CESP), Institut Gustave Roussy,Villejuif, France, Université Paris Sud 11, UMRS 1018, Villejuif, France, Cancer Control Group, Queensland Institute of Medical Research, Herston, QLD, Australia, Department of Dermatology, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA, Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA and Department of Obstetrics, Gynecology, and Reproductive Biology, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Stacey A Missmer
- Channing Division of Network Medicine, Department of Medicine, Brigham & Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA, Inserm U1018, Centre for Research in Epidemiology and Population Health (CESP), Institut Gustave Roussy,Villejuif, France, Université Paris Sud 11, UMRS 1018, Villejuif, France, Cancer Control Group, Queensland Institute of Medical Research, Herston, QLD, Australia, Department of Dermatology, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA, Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA and Department of Obstetrics, Gynecology, and Reproductive Biology, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
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Abstract
The rapidly increasing incidence of melanoma, coupled with its highly aggressive metastatic nature, is of urgent concern. In order to design rational therapies, it is of critical importance to identify the genetic determinants that drive melanoma formation and progression. To date, signaling cascades emanating from the EGF receptor, c-MET and other receptors are known to be altered in melanoma. Important mutations in signaling molecules, such as BRAF and N-RAS, have been identified. In this review, some of the major genetic alterations and signaling pathways involved in melanoma will be discussed. Given the great deal of genetic heterogeneity observed in melanoma, it is likely that many more genetic determinants exist. Through the use of powerful genomic technologies, it is now possible to identify these additional genetic alterations in melanoma. A critical step in this analysis will be culling bystanders from functionally important drivers, as this will highlight genetic elements that will be promising therapeutic targets. Such technologies and the important points to consider in understanding the genetics of melanoma will be reviewed.
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Affiliation(s)
- Papia Ghosh
- Dana-Farber Cancer Institute, Department of Medical Oncology, 44 Binney Street, Boston, MA 02215, USA, Tel.: +1 617 258 8614, ,
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Zhang N, Wang L, Zhu GN, Sun DJ, He H, Luan Q, Liu L, Hao F, Li CY, Gao TW. The association between trauma and melanoma in the Chinese population: a retrospective study. J Eur Acad Dermatol Venereol 2013; 28:597-603. [PMID: 23465057 DOI: 10.1111/jdv.12141] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2012] [Accepted: 02/18/2013] [Indexed: 11/28/2022]
Abstract
BACKGROUND The association between trauma and melanoma has been a controversial issue. OBJECTIVES To analyse the profiles of melanoma, and to determine whether trauma is associated with development of acral melanoma in the Chinese population. PATIENTS AND METHODS Retrospective analysis of 685 cases of cutaneous melanoma in the dermatology departments of Xijing Hospital in northwestern China and Xinan Hospital in southwestern China from 1982 to 2011. RESULTS Of the 685 patients included in the study, 437 (63.8%) suffered from melanoma on the extremities. A total of 104 patients (15.2%) exhibited an association between trauma and melanoma. The primary anatomic sites of the tumours were the upper extremities (17, 16.3%), lower extremities (74, 71.2%) and other sites (13, 12.5%). Among these cases, the extremities were with remarkably higher risks of post-trauma melanoma than the other sites [adjusted odds ratio (OR) 3.968; 95% confidence interval (CI) 2.267-5.592]. Notably, patients in the south part of China were with a stronger risk of post-trauma melanoma on the lower extremities than those in the north (adjusted OR 1.764; 95% CI 1.192-2.666) part. In addition, a significant higher risk of post-trauma melanoma on the extremities was observed in the male gender (adjusted OR 1.848; 95% CI 1.186-2.887). CONCLUSIONS Our findings provide epidemiological evidence for a potential association between traumatic events and melanoma of the extremities, especially the lower limbs, where a history of trauma is more likely.
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Affiliation(s)
- N Zhang
- Department of Dermatology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China
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Interpretation of melanoma risk feedback in first-degree relatives of melanoma patients. J Cancer Epidemiol 2012; 2012:374842. [PMID: 22888347 PMCID: PMC3410311 DOI: 10.1155/2012/374842] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2012] [Revised: 05/28/2012] [Accepted: 05/31/2012] [Indexed: 11/24/2022] Open
Abstract
Little is known about how individuals might interpret brief genetic risk feedback. We examined interpretation and behavioral intentions (sun protection, skin screening) in melanoma first-degree relatives (FDRs) after exposure to brief prototypic melanoma risk feedback. Using a 3 by 2 experimental pre-post design where feedback type (high-risk mutation, gene environment, and nongenetic) and risk level (positive versus negative findings) were systematically varied, 139 melanoma FDRs were randomized to receive one of the six scenarios. All scenarios included an explicit reminder that melanoma family history increased their risk regardless of their feedback. The findings indicate main effects by risk level but not feedback type; positive findings led to heightened anticipated melanoma risk perceptions and anticipated behavioral intentions. Yet those who received negative findings often discounted their family melanoma history. As such, 25%, 30%, and 32% of those who received negative mutation, gene-environment, and nongenetic feedback, respectively, reported that their risk was similar to the general population. Given the frequency with which those who pursue genetic testing may receive negative feedback, attention is needed to identify ideal strategies to present negative genetic findings in contexts such as direct to consumer channels where extensive genetic counseling is not required.
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Shuk E, Burkhalter J, Baguer C, Holland S, Pinkhasik A, Brady MS, Coit D, Ariyan C, Hay J. Factors associated with inconsistent sun protection in first-degree relatives of melanoma survivors. QUALITATIVE HEALTH RESEARCH 2012; 22:934-945. [PMID: 22645220 PMCID: PMC4057020 DOI: 10.1177/1049732312443426] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
First-degree relatives (FDRs) of melanoma survivors are at heightened risk for developing melanoma, but use sun protection inconsistently. To develop appropriate interventions, in this article we identify factors related to sun protection inconsistency in melanoma FDRs using ethnographic decision tree modeling. We conducted in-home interviews with 25 melanoma FDRs balanced across gender and sunbathing attitudes and identified factors related to daily decision making about use of sunscreen, shade seeking, hats, and clothing. Results indicated primary facilitators for sun protection involved water settings and sunny weather. Physical activities such as exercise served to promote as well as inhibit sun protection. If participants anticipated shade cover, they tended to forgo other sun protection. The use of hats and clothing was often dictated by nonsun-protection goals. Understanding factors related to inconsistent sun protection with detail and nuance is an important prerequisite to interventions aimed to improve sun-protection maintenance in this population.
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Affiliation(s)
- Elyse Shuk
- Memorial Sloan-Kettering Cancer Center, New York, New York, USA
| | - Jack Burkhalter
- Memorial Sloan-Kettering Cancer Center, New York, New York, USA
| | - Carlos Baguer
- The New School for Social Research, New York, New York, USA
| | - Susan Holland
- Memorial Sloan-Kettering Cancer Center, New York, New York, USA
| | - Alisa Pinkhasik
- Memorial Sloan-Kettering Cancer Center, New York, New York, USA
| | - Mary Sue Brady
- Memorial Sloan-Kettering Cancer Center, New York, New York, USA
| | - Daniel Coit
- Memorial Sloan-Kettering Cancer Center, New York, New York, USA
| | | | - Jennifer Hay
- Memorial Sloan-Kettering Cancer Center, New York, New York, USA
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Nielsen K, Måsbäck A, Olsson H, Ingvar C. A prospective, population-based study of 40,000 women regarding host factors, UV exposure and sunbed use in relation to risk and anatomic site of cutaneous melanoma. Int J Cancer 2011; 131:706-15. [PMID: 21898390 DOI: 10.1002/ijc.26408] [Citation(s) in RCA: 47] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2011] [Accepted: 08/10/2011] [Indexed: 02/01/2023]
Abstract
Prospective cohort studies about cutaneous melanoma (CM) risk are still few. Host factor- and UVR exposure data were collected prospectively by questionnaire in this population-based cohort study including 40,000 Swedish born women, aged 25-64 years at enrolment (1990). Risk for CM (Cox regression and Stepwise Cox regression [SCR], hazard ratios [HRs] with 95% Confidence Intervals [CI]) in relation to risk factors, age groups (older or younger than 40 years) and primary site, were analyzed. In 29,520 women with complete follow-up through 2007, 155 invasive and 60 in situ CM were recorded. High numbers of nevi (HR, 2.9; 95% CI, 1.7-5.0) and heredity (HR, 3.7; 95% CI, 2.0-6.8) were associated with risk for CM. SCR analysis added red hair as a risk factor. Sunbed use >10 times/year increased risk for women <40 years (HR, 2.5; 95% CI, 1.0-6.2) and a trend for risk associated with sunbathing vacations (HR, 1.4; 95% CI, 1.0-2.0) was shown for women >40 years. Trunk melanoma showed correlations with high numbers of nevi (HR, 3.0; 95% CI, 1.2-7.3) and heredity (HR, 3.2; 95% CI, 1.1-9.4). Head/neck site was correlated to sunbathing vacations (HR, 2.5; 95% CI, 1.2-5.3) and heredity (HR, 7.6; 95% CI, 1.8-31.8). Our study supports divergent etiologic pathways to CM, with high numbers of nevi correlated to increased risk for trunk CM. Furthermore, it confirms that high numbers of nevi, red hair and heredity for CM are the most important risk factors and frequent sunbed use might be a risk factor for younger women.
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Affiliation(s)
- Kari Nielsen
- Department of Clinical Sciences, Division of Dermatology, Lund Melanoma Study Group, Lund University, Lund, Sweden.
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Tuong W, Cheng LS, Armstrong AW. Melanoma: epidemiology, diagnosis, treatment, and outcomes. Dermatol Clin 2011; 30:113-24, ix. [PMID: 22117873 DOI: 10.1016/j.det.2011.08.006] [Citation(s) in RCA: 50] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Melanoma is a skin cancer that arises from the malignant transformation of melanocytes. Although it is typically considered a pigmented lesion, the clinical presentation of melanoma can vary greatly. With increased efforts in screening and detection of early-stage melanoma, researchers and clinicians hope to improve clinical outcomes for patients with melanoma. Novel immunotherapies directed at specific molecular targets in the pathogenesis of melanoma usher in a new era of treatment of advanced melanoma.
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Affiliation(s)
- William Tuong
- Department of Dermatology, University of California Davis School of Medicine, Sacramento, CA 95816, USA
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