Methylation alteration of

SHANK1 cancer methylation alteration diagnostic biomarkers predictive biomarkers prognostic biomarkers

Journal

Oncotarget
ISSN: 1949-2553
Titre abrégé: Oncotarget
Pays: United States
ID NLM: 101532965

Informations de publication

Date de publication:
13 Aug 2019
Historique:
received: 14 03 2019
accepted: 21 06 2019
entrez: 28 8 2019
pubmed: 28 8 2019
medline: 28 8 2019
Statut: epublish

Résumé

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

Identifiants

pubmed: 31452839
doi: 10.18632/oncotarget.27080
pii: 27080
pmc: PMC6697638
doi:

Types de publication

Journal Article

Langues

eng

Pagination

4987-5002

Déclaration de conflit d'intérêts

CONFLICTS OF INTEREST The authors declare no conflict of interest.

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Auteurs

Eleonora Loi (E)

Department of Biomedical Sciences, Unit of Biology and Genetics, University of Cagliari, Cagliari, Italy.

Loredana Moi (L)

Department of Biomedical Sciences, Unit of Biology and Genetics, University of Cagliari, Cagliari, Italy.

Antonio Fadda (A)

Department of Biomedical Sciences, Unit of Biology and Genetics, University of Cagliari, Cagliari, Italy.

Giannina Satta (G)

Department of Medical Sciences and Public Health, Occupational Health Unit, University of Cagliari, Cagliari, Italy.

Mariagrazia Zucca (M)

Department of Biomedical Sciences, Cytomorphology Unit, University of Cagliari, Cagliari, Italy.

Sonia Sanna (S)

Department of Biomedical Sciences, Cytomorphology Unit, University of Cagliari, Cagliari, Italy.

Shadi Amini Nia (S)

Department of Medical Sciences and Public Health, Occupational Health Unit, University of Cagliari, Cagliari, Italy.

Giuseppina Cabras (G)

Unit of Hematology, A. Businco Oncology Hospital, Cagliari, Italy.

Marina Padoan (M)

Department of Medical Sciences, Unit of Medical Statistics and Cancer Epidemiology, University of Eastern Piedmont, Novara, Italy.

Corrado Magnani (C)

Department of Medical Sciences, Unit of Medical Statistics and Cancer Epidemiology, University of Eastern Piedmont, Novara, Italy.

Lucia Miligi (L)

Institute of Oncology Studies and Prevention, Florence, Italy.

Sara Piro (S)

Institute of Oncology Studies and Prevention, Florence, Italy.

Davide Gentilini (D)

Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.
Bioinformatics and Statistical Genomics Unit, Istituto Auxologico Italiano IRCCS, Cusano Milanino, Milan, Italy.

Maria Grazia Ennas (MG)

Department of Biomedical Sciences, Cytomorphology Unit, University of Cagliari, Cagliari, Italy.

Melissa C Southey (MC)

Precision Medicine, Monash University, Melbourne, Melbourne, Australia.
Department of Clinical Pathology, The University of Melbourne, Melbourne, Australia.

Graham G Giles (GG)

Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Australia.
Centre for Epidemiology & Biostatistics, The University of Melbourne, Melbourne, Australia.

Nicole Wong Doo (N)

Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Australia.
Concord Hospital Clinical School, The University of Sydney, Sydney, Australia.

Pierluigi Cocco (P)

Department of Medical Sciences and Public Health, Occupational Health Unit, University of Cagliari, Cagliari, Italy.

Patrizia Zavattari (P)

Department of Biomedical Sciences, Unit of Biology and Genetics, University of Cagliari, Cagliari, Italy.

Classifications MeSH