Literature DB >> 18166798

Gene expression profile and genomic changes in disease progression of early-stage chronic lymphocytic leukemia.

Verònica Fernàndez1, Pedro Jares, Itziar Salaverria, Eva Giné, Sílvia Beà, Marta Aymerich, Dolors Colomer, Neus Villamor, Francesc Bosch, Emili Montserrat, Elias Campo.   

Abstract

The biologic mechanisms involved in the clinical progression from early stages of patients with chronic lymphocytic leukemia (CLL) are not well known. We investigated sequential samples from 16 untreated CLL patients obtained at diagnosis in early stage and after progression before treatment. One patient had a p16 (INK4a) homozygous deletion at diagnosis and progression, and 3 patients acquired a p53 mutation, gains of 5q21-q23 and 11pter-p14, and a gain of chromosome 12 respectively, during the progression of the disease. Gene expression profile analysis showed a significant modulation of 58 genes with a particular downregulation of genes that are inhibitors of cell adhesion and motility.

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Year:  2008        PMID: 18166798     DOI: 10.3324/haematol.11694

Source DB:  PubMed          Journal:  Haematologica        ISSN: 0390-6078            Impact factor:   9.941


  4 in total

1.  Subnetwork-based analysis of chronic lymphocytic leukemia identifies pathways that associate with disease progression.

Authors:  Han-Yu Chuang; Laura Rassenti; Michelle Salcedo; Kate Licon; Alexander Kohlmann; Torsten Haferlach; Robin Foà; Trey Ideker; Thomas J Kipps
Journal:  Blood       Date:  2012-07-26       Impact factor: 22.113

2.  C3G shows regulated nucleocytoplasmic exchange and represses histone modifications associated with euchromatin.

Authors:  Dhruv Kumar Shakyawar; Kunal Dayma; Anesh Ramadhas; Chavvakula Varalakshmi; Vegesna Radha
Journal:  Mol Biol Cell       Date:  2017-02-01       Impact factor: 4.138

3.  Impact Of TP53 Gene Promoter Methylation On Chronic Lymphocytic Leukemia Pathogenesis And Progression.

Authors:  Waleed Haji Saeed; Adil Abozaid Eissa; Adnan Anwar Al-Doski
Journal:  J Blood Med       Date:  2019-11-25

4.  Controlled variable selection in Weibull mixture cure models for high-dimensional data.

Authors:  Han Fu; Deedra Nicolet; Krzysztof Mrózek; Richard M Stone; Ann-Kathrin Eisfeld; John C Byrd; Kellie J Archer
Journal:  Stat Med       Date:  2022-07-06       Impact factor: 2.497

  4 in total

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