دورية أكاديمية

Estimating CDKN2A mutation carrier probability among global familial melanoma cases using GenoMELPREDICT

التفاصيل البيبلوغرافية
العنوان: Estimating CDKN2A mutation carrier probability among global familial melanoma cases using GenoMELPREDICT
المؤلفون: Taylor, Nicholas J, Mitra, Nandita, Qian, Lu, Avril, Marie-Françoise, Bishop, D Timothy, Paillerets, Brigitte Bressac-de, Bruno, William, Calista, Donato, Cuellar, Francisco, Cust, Anne E, Demenais, Florence, Elder, David E, Gerdes, Anne-Marie, Ghiorzo, Paola, Goldstein, Alisa M, Grazziotin, Thais C, Gruis, Nelleke A, Hansson, Johan, Harland, Mark, Hayward, Nicholas K, Hocevar, Marko, Höiom, Veronica, Holland, Elizabeth A, Ingvar, Christian, Landi, Maria Teresa, Landman, Gilles, Larre-Borges, Alejandra, Mann, Graham J, Nagore, Eduardo, Olsson, Håkan, Palmer, Jane M, Perić, Barbara, Pjanova, Dace, Pritchard, Antonia L, Puig, Susana, Schmid, Helen, van der Stoep, Nienke, Tucker, Margaret A, Wadt, Karin A W, Yang, Xiaohong R, Newton-Bishop, Julia A, Kanetsky, Peter A
المساهمون: Taylor, Nicholas J, Mitra, Nandita, Qian, Lu, Avril, Marie-Françoise, Bishop, D Timothy, Paillerets, Brigitte Bressac-de, Bruno, William, Calista, Donato, Cuellar, Francisco, Cust, Anne E, Demenais, Florence, Elder, David E, Gerdes, Anne-Marie, Ghiorzo, Paola, Goldstein, Alisa M, Grazziotin, Thais C, Gruis, Nelleke A, Hansson, Johan, Harland, Mark, Hayward, Nicholas K, Hocevar, Marko, Höiom, Veronica, Holland, Elizabeth A, Ingvar, Christian, Landi, Maria Teresa, Landman, Gille, Larre-Borges, Alejandra, Mann, Graham J, Nagore, Eduardo, Olsson, Håkan, Palmer, Jane M, Perić, Barbara, Pjanova, Dace, Pritchard, Antonia L, Puig, Susana, Schmid, Helen, van der Stoep, Nienke, Tucker, Margaret A, Wadt, Karin A W, Yang, Xiaohong R, Newton-Bishop, Julia A, Kanetsky, Peter A
بيانات النشر: Elsevier
سنة النشر: 2019
المجموعة: Università degli Studi di Genova: CINECA IRIS
مصطلحات موضوعية: CDKN2A, familial melanoma, GenoMEL, GenoMELPREDICT, mutation prediction
الوصف: Background: Although rare in the general population, highly penetrant germline mutations in CDKN2A are responsible for 5%-40% of melanoma cases reported in melanoma-prone families. We sought to determine whether MELPREDICT was generalizable to a global series of families with melanoma and whether performance improvements can be achieved. Methods: In total, 2116 familial melanoma cases were ascertained by the international GenoMEL Consortium. We recapitulated the MELPREDICT model within our data (GenoMELPREDICT) to assess performance improvements by adding phenotypic risk factors and history of pancreatic cancer. We report areas under the curve (AUC) with 95% confidence intervals (CIs) along with net reclassification indices (NRIs) as performance metrics. Results: MELPREDICT performed well (AUC 0.752, 95% CI 0.730-0.775), and GenoMELPREDICT performance was similar (AUC 0.748, 95% CI 0.726-0.771). Adding a reported history of pancreatic cancer yielded discriminatory improvement (P < .0001) in GenoMELPREDICT (AUC 0.772, 95% CI 0.750-0.793, NRI 0.40). Including phenotypic risk factors did not improve performance. Conclusion: The MELPREDICT model functioned well in a global data set of familial melanoma cases. Adding pancreatic cancer history improved model prediction. GenoMELPREDICT is a simple tool for predicting CDKN2A mutational status among melanoma patients from melanoma-prone families and can aid in directing these patients to receive genetic testing or cancer risk counseling.
نوع الوثيقة: article in journal/newspaper
وصف الملف: ELETTRONICO
اللغة: English
العلاقة: info:eu-repo/semantics/altIdentifier/pmid/30731170; info:eu-repo/semantics/altIdentifier/wos/WOS:000475303900027; volume:81 (2); firstpage:386; lastpage:394; numberofpages:9; journal:JOURNAL OF THE AMERICAN ACADEMY OF DERMATOLOGY; http://hdl.handle.net/11567/955554Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85068769924
DOI: 10.1016/j.jaad.2019.01.079
الإتاحة: https://doi.org/10.1016/j.jaad.2019.01.079Test
http://hdl.handle.net/11567/955554Test
حقوق: info:eu-repo/semantics/openAccess
رقم الانضمام: edsbas.DC1BAF98
قاعدة البيانات: BASE