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Methylation alteration of SHANK1 as a predictive, diagnostic and prognostic biomarker for chronic lymphocytic leukemia.
Loi, Eleonora; Moi, Loredana; Fadda, Antonio; Satta, Giannina; Zucca, Mariagrazia; Sanna, Sonia; Amini Nia, Shadi; Cabras, Giuseppina; Padoan, Marina; Magnani, Corrado; Miligi, Lucia; Piro, Sara; Gentilini, Davide; Ennas, Maria Grazia; Southey, Melissa C; Giles, Graham G; Wong Doo, Nicole; Cocco, Pierluigi; Zavattari, Patrizia.
Afiliação
  • Loi E; Department of Biomedical Sciences, Unit of Biology and Genetics, University of Cagliari, Cagliari, Italy.
  • Moi L; Department of Biomedical Sciences, Unit of Biology and Genetics, University of Cagliari, Cagliari, Italy.
  • Fadda A; Department of Biomedical Sciences, Unit of Biology and Genetics, University of Cagliari, Cagliari, Italy.
  • Satta G; Department of Medical Sciences and Public Health, Occupational Health Unit, University of Cagliari, Cagliari, Italy.
  • Zucca M; Department of Biomedical Sciences, Cytomorphology Unit, University of Cagliari, Cagliari, Italy.
  • Sanna S; Department of Biomedical Sciences, Cytomorphology Unit, University of Cagliari, Cagliari, Italy.
  • Amini Nia S; Department of Medical Sciences and Public Health, Occupational Health Unit, University of Cagliari, Cagliari, Italy.
  • Cabras G; Unit of Hematology, A. Businco Oncology Hospital, Cagliari, Italy.
  • Padoan M; Department of Medical Sciences, Unit of Medical Statistics and Cancer Epidemiology, University of Eastern Piedmont, Novara, Italy.
  • Magnani C; Department of Medical Sciences, Unit of Medical Statistics and Cancer Epidemiology, University of Eastern Piedmont, Novara, Italy.
  • Miligi L; Institute of Oncology Studies and Prevention, Florence, Italy.
  • Piro S; Institute of Oncology Studies and Prevention, Florence, Italy.
  • Gentilini D; Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.
  • Ennas MG; Bioinformatics and Statistical Genomics Unit, Istituto Auxologico Italiano IRCCS, Cusano Milanino, Milan, Italy.
  • Southey MC; Department of Biomedical Sciences, Cytomorphology Unit, University of Cagliari, Cagliari, Italy.
  • Giles GG; Precision Medicine, Monash University, Melbourne, Melbourne, Australia.
  • Wong Doo N; Department of Clinical Pathology, The University of Melbourne, Melbourne, Australia.
  • Cocco P; Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Australia.
  • Zavattari P; Centre for Epidemiology & Biostatistics, The University of Melbourne, Melbourne, Australia.
Oncotarget ; 10(48): 4987-5002, 2019 Aug 13.
Article em En | MEDLINE | ID: mdl-31452839
ABSTRACT
Chronic lymphocytic leukemia (CLL) is a clinically heterogeneous disease characterized by the clonal expansion of malignant B cells. To predict the clinical course of the disease, the identification of diagnostic biomarkers is urgently needed. Aberrant methylation patterns may predict CLL development and its course, being very early changes during carcinogenesis. Our aim was to identify CLL specific methylation patterns and to evaluate whether methylation aberrations in selected genes are associated with changes in gene expression. Here, by performing a genome-wide methylation analysis, we identified several CLL-specific methylation alterations. We focused on the most altered one, at a CpG island located in the body of SHANK1 gene, in our CLL cases compared to healthy controls. This methylation alteration was successfully validated in a larger cohort including 139 CLL and 20 control in silico samples. We also found a positive correlation between SHANK1 methylation level and absolute lymphocyte count, in particular CD19+ B cells, in CLL patients. Moreover, we were able to detect gains of methylation at SHANK1 in blood samples collected years prior to diagnosis. Overall, our results suggest methylation alteration at this SHANK1 CpG island as a biomarker for risk and diagnosis of CLL, and also in the personalized quantification of tumor aggressiveness.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article