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Helgadottir H, Schultz K, Lapins J, Höiom V. Familial features affecting the melanoma risk in CDKN2A-negative melanoma families: a study based on the Swedish Cancer Registry. Acta Oncol 2023; 62:1967-1972. [PMID: 37801364 DOI: 10.1080/0284186x.2023.2265052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Accepted: 09/26/2023] [Indexed: 10/07/2023]
Affiliation(s)
- Hildur Helgadottir
- Department of Oncology and Pathology, Karolinska Institutet, Stockholm, Sweden
- Theme Cancer, Karolinska University Hospital, Stockholm, Sweden
| | - Karina Schultz
- Department of Oncology and Pathology, Karolinska Institutet, Stockholm, Sweden
- Theme Cancer, Karolinska University Hospital, Stockholm, Sweden
| | - Jan Lapins
- Department of Dermatology, Karolinska University Hospital, Stockholm
- Dermatology and Venereology Unit, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
| | - Veronica Höiom
- Department of Oncology and Pathology, Karolinska Institutet, Stockholm, Sweden
- Theme Cancer, Karolinska University Hospital, Stockholm, Sweden
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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Nguyen TQ, Schneider G, Kaliappan A, Buscaglia R, Brock GN, Hall MB, Miller DM, Chesney JA, Garbett NC. Plasma Thermogram Parameters Differentiate Status and Overall Survival of Melanoma Patients. Curr Oncol 2023; 30:6079-6096. [PMID: 37504313 PMCID: PMC10378067 DOI: 10.3390/curroncol30070453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 05/31/2023] [Accepted: 06/21/2023] [Indexed: 07/29/2023] Open
Abstract
Melanoma is the fifth most common cancer in the United States and the deadliest of all skin cancers. Even with recent advancements in treatment, there is still a 13% two-year recurrence rate, with approximately 30% of recurrences being distant metastases. Identifying patients at high risk for recurrence or advanced disease is critical for optimal clinical decision-making. Currently, there is substantial variability in the selection of screening tests and imaging, with most modalities characterized by relatively low accuracy. In the current study, we built upon a preliminary examination of differential scanning calorimetry (DSC) in the melanoma setting to examine its utility for diagnostic and prognostic assessment. Using regression analysis, we found that selected DSC profile (thermogram) parameters were useful for differentiation between melanoma patients and healthy controls, with more complex models distinguishing melanoma patients with no evidence of disease from patients with active disease. Thermogram features contributing to the third principal component (PC3) were useful for differentiation between controls and melanoma patients, and Cox proportional hazards regression analysis indicated that PC3 was useful for predicting the overall survival of active melanoma patients. With the further development and optimization of the classification method, DSC could complement current diagnostic strategies to improve screening, diagnosis, and prognosis of melanoma patients.
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Affiliation(s)
- Taylor Q. Nguyen
- UofL Health–Brown Cancer Center and Division of Medical Oncology and Hematology, Department of Medicine, University of Louisville, Louisville, KY 40202, USA
| | - Gabriela Schneider
- UofL Health–Brown Cancer Center and Division of Medical Oncology and Hematology, Department of Medicine, University of Louisville, Louisville, KY 40202, USA
| | - Alagammai Kaliappan
- UofL Health–Brown Cancer Center and Division of Medical Oncology and Hematology, Department of Medicine, University of Louisville, Louisville, KY 40202, USA
| | - Robert Buscaglia
- Department of Mathematics and Statistics, Northern Arizona University, Flagstaff, AZ 86011, USA
| | - Guy N. Brock
- Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH 43210, USA
| | - Melissa Barousse Hall
- UofL Health–Brown Cancer Center and Division of Medical Oncology and Hematology, Department of Medicine, University of Louisville, Louisville, KY 40202, USA
| | - Donald M. Miller
- UofL Health–Brown Cancer Center and Division of Medical Oncology and Hematology, Department of Medicine, University of Louisville, Louisville, KY 40202, USA
| | - Jason A. Chesney
- UofL Health–Brown Cancer Center and Division of Medical Oncology and Hematology, Department of Medicine, University of Louisville, Louisville, KY 40202, USA
| | - Nichola C. Garbett
- UofL Health–Brown Cancer Center and Division of Medical Oncology and Hematology, Department of Medicine, University of Louisville, Louisville, KY 40202, USA
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Truderung OAH, Sagi JC, Semsei AF, Szalai C. Melanoma susceptibility: an update on genetic and epigenetic findings. Int J Mol Epidemiol Genet 2021; 12:71-89. [PMID: 34853632 PMCID: PMC8611230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Accepted: 09/14/2021] [Indexed: 06/13/2023]
Abstract
Malignant melanoma is one of the most highly ranked cancers in terms of years of life lost. Hereditary melanoma with its increased familial susceptibility is thought to affect up to 12% of all melanoma patients. In the past, only a few high-penetrance genes associated with familial melanoma, such as CDKN2A and CDK4, have been clinically tested. However, findings now indicate that melanoma is a cancer most likely to develop not only due to high-penetrance variants but also due to polygenic inheritance patterns, leaving no clear division between the hereditary and sporadic development of malignant melanoma. Various pathogenic low-penetrance variants were recently discovered through genome-wide association studies, and are now translated into polygenic risk scores. These can show superior sensitivity rates for the prediction of melanoma susceptibility and related mixed cancer syndromes than risk scores based on phenotypic traits of the patients, with odds ratios of up to 5.7 for patients in risk groups. In addition to describing genetic findings, we also review the first results of epigenetic research showing constitutional methylation changes that alter the susceptibility to cutaneous melanoma and its risk factors.
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Affiliation(s)
- Ole AH Truderung
- Department of Genetics, Cell- and Immunobiology, Semmelweis UniversityH-1089 Budapest, Hungary
| | - Judit C Sagi
- Department of Genetics, Cell- and Immunobiology, Semmelweis UniversityH-1089 Budapest, Hungary
| | - Agnes F Semsei
- Department of Genetics, Cell- and Immunobiology, Semmelweis UniversityH-1089 Budapest, Hungary
| | - Csaba Szalai
- Department of Genetics, Cell- and Immunobiology, Semmelweis UniversityH-1089 Budapest, Hungary
- Heim Pal Children’s HospitalH-1089 Budapest, Hungary
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Bakshi A, Yan M, Riaz M, Polekhina G, Orchard SG, Tiller J, Wolfe R, Joshi A, Cao Y, McInerney-Leo AM, Yanes T, Janda M, Soyer HP, Cust AE, Law MH, Gibbs P, McLean C, Chan AT, McNeil JJ, Mar VJ, Lacaze P. Genomic Risk Score for Melanoma in a Prospective Study of Older Individuals. J Natl Cancer Inst 2021; 113:1379-1385. [PMID: 33837773 PMCID: PMC8921762 DOI: 10.1093/jnci/djab076] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Revised: 02/16/2021] [Accepted: 03/30/2021] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Recent genome-wide association meta-analysis for melanoma doubled the number of previously identified variants. We assessed the performance of an updated polygenic risk score (PRS) in a population of older individuals, where melanoma incidence and cumulative ultraviolet radiation exposure is greatest. METHODS We assessed a PRS for cutaneous melanoma comprising 55 variants in a prospective study of 12 712 individuals in the ASPirin in Reducing Events in the Elderly Trial. We evaluated incident melanomas diagnosed during the trial and prevalent melanomas diagnosed preenrolment (self-reported). Multivariable models examined associations between PRS as a continuous variable (per SD) and categorical (low-risk [0%-20%], medium-risk [21%-80%], high-risk [81%-100%] groups) with incident melanoma. Logistic regression examined the association between PRS and prevalent melanoma. RESULTS At baseline, mean participant age was 75 years; 55.0% were female, and 528 (4.2%) had prevalent melanomas. During follow-up (median = 4.7 years), 120 (1.0%) incident cutaneous melanomas occurred, 98 of which were in participants with no history. PRS was associated with incident melanoma (hazard ratio = 1.46 per SD, 95% confidence interval [CI] = 1.20 to 1.77) and prevalent melanoma (odds ratio [OR] = 1.55 per SD, 95% CI = 1.42 to 1.69). Participants in the highest-risk PRS group had increased risk compared with the low-risk group for incident melanoma (OR = 2.51, 95% CI = 1.28 to 4.92) and prevalent melanoma (OR = 3.66, 95% CI = 2.69 to 5.05). When stratifying by sex, only males had an association between the PRS and incident melanoma, whereas both sexes had an association between the PRS and prevalent melanoma. CONCLUSIONS A genomic risk score is associated with melanoma risk in older individuals and may contribute to targeted surveillance.
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Affiliation(s)
- Andrew Bakshi
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Mabel Yan
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Moeen Riaz
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Galina Polekhina
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Suzanne G Orchard
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Jane Tiller
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Rory Wolfe
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Amit Joshi
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA; MGH Cancer Center, Boston, MA, USA
| | - Yin Cao
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St Louis, MO, USA; Alvin J. Siteman Cancer Center, Washington University School of Medicine, St Louis, MO, USA
| | - Aideen M McInerney-Leo
- The University of Queensland Diamantina Institute, The University of Queensland, Dermatology Research Centre, Brisbane, QLD, USA
| | - Tatiane Yanes
- The University of Queensland Diamantina Institute, The University of Queensland, Dermatology Research Centre, Brisbane, QLD, USA
| | - Monika Janda
- The University of Queensland Diamantina Institute, The University of Queensland, Dermatology Research Centre, Brisbane, QLD, USA
- Centre of Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia
| | - H Peter Soyer
- The University of Queensland Diamantina Institute, The University of Queensland, Dermatology Research Centre, Brisbane, QLD, USA
| | - Anne E Cust
- Sydney School of Public Health and Melanoma Institute Australia, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
| | - Matthew H Law
- Statistical Genetics Lab, QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia
- School of Biomedical Sciences, Faculty of Health, and Institute of health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, Queensland, Australia, Personalised Oncology Division, Walter and Eliza Hall Institute Medical Research and Faculty of Medicine University of Melbourne, Australia
| | - Peter Gibbs
- Department of Anatomical Pathology, Alfred Hospital, Melbourne, Victoria, Australia
| | - Catriona McLean
- Department of Anatomical Pathology, Alfred Hospital, Melbourne, Victoria, Australia
| | - Andrew T Chan
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA; MGH Cancer Center, Boston, MA, USA
| | - John J McNeil
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Victoria J Mar
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
- Victorian Melanoma Service, Alfred Health, Melbourne, Australia
| | - Paul Lacaze
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
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Chien HT, Yeh CC, Young CK, Chen TP, Liao CT, Wang HM, Cho KL, Huang SF. Polygenic Panels Predicting the Susceptibility of Multiple Upper Aerodigestive Tract Cancer in Oral Cancer Patients. J Pers Med 2021; 11:jpm11050425. [PMID: 34070222 PMCID: PMC8158753 DOI: 10.3390/jpm11050425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Revised: 05/08/2021] [Accepted: 05/14/2021] [Indexed: 11/16/2022] Open
Abstract
Head and neck cancer was closely related with habitual use of cigarette and alcohol. Those cancer patients are susceptible to develop multiple primary tumors (MPTs). In this study, we utilized the single nucleotide polymorphisms (SNPs) array (Affymetrix Axion Genome-Wide TWB 2.0 Array Plate) to investigate patients' risks of developing multiple primary cancers. We recruited 712 male head and neck cancer patients between Mar 1996 and Feb 2017. Two hundred and eighty-six patients (40.2%) had MPTs and 426 (59.8%) had single cancer. Four hundred and twelve normal controls were also recruited. A list of seventeen factors was extracted and ten factors were demonstrated to increase the risks of multiple primary cancers (alcohol drinking, rs118169127, rs149089400, rs76367287, rs61401220, rs141057871, rs7129229, older age, rs3760265, rs9554264; all were p value < 0.05). Polygenic scoring model was built and the area under curve to predict the risk developing MPTs is 0.906. Alcohol drinking, among the seventeen factors, was the most important risk factor to develop MPT in upper aerodigestive tract (OR: 7.071, 95% C.I.: 2.134-23.434). For those with high score in polygenic model, routine screening of upper digestive tract including laryngoscope and esophagoscope is suggested to detect new primaries early.
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Affiliation(s)
- Huei-Tzu Chien
- Department of Nutrition and Health Sciences, Chang Gung University of Science and Technology, Tao-Yuan 33302, Taiwan;
- Research Center for Chinese Herbal Medicine, College of Human Ecology, Chang Gung University of Science and Technology, Tao-Yuan 33302, Taiwan
| | - Chi-Chin Yeh
- Master Program in Applied Molecular Epidemiology, College of Public Health, Taipei Medical University, Taipei 11031, Taiwan;
- Department of Public Health, College of Public Health, China Medical University, Taichung 40402, Taiwan
- Cancer Center, Wan Fang Hospital, Taipei Medical University, Taipei 11696, Taiwan
| | - Chi-Kuang Young
- Department of Otolaryngology, Chang Gung Memorial Hospital, Keelung 20401, Taiwan;
| | - Tzu-Ping Chen
- Department of Thoracic Surgery, Chang Gung Memorial Hospital, Keelung 20401, Taiwan;
| | - Chun-Ta Liao
- Department of Otolaryngology, Head and Neck Surgery, Chang Gung Memorial Hospital, Linkou 33342, Taiwan; (C.-T.L.); (K.-L.C.)
- Medical College, Chang Gung University, Tao-Yuan 33302, Taiwan;
| | - Hung-Ming Wang
- Medical College, Chang Gung University, Tao-Yuan 33302, Taiwan;
- Division of Hematology/Oncology, Department of Internal Medicine, Chang Gung Memorial Hospital, Tao-Yuan 33342, Taiwan
| | - Kai-Lun Cho
- Department of Otolaryngology, Head and Neck Surgery, Chang Gung Memorial Hospital, Linkou 33342, Taiwan; (C.-T.L.); (K.-L.C.)
| | - Shiang-Fu Huang
- Department of Otolaryngology, Head and Neck Surgery, Chang Gung Memorial Hospital, Linkou 33342, Taiwan; (C.-T.L.); (K.-L.C.)
- Medical College, Chang Gung University, Tao-Yuan 33302, Taiwan;
- Graduate Institute of Clinical Medical Science, Chang Gung University, Tao-Yuan 33302, Taiwan
- Correspondence: ; Tel.: +88-633-281-200 (ext. 3968); Fax: +88-633-979-361
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