Literature DB >> 15072446

Loss of heterozygosity analysis of chromosome 17p13.1-13.3 and its correlation with clinical outcome in medulloblastomas.

Hye Lim Jung1, Kyu-Chang Wang, Seung-Ki Kim, Ki Woong Sung, Hong Hoe Koo, Hee Young Shin, Hyo Seop Ahn, Hyung Jin Shin, Byung-Kyu Cho.   

Abstract

Cytogenetic and molecular genetic studies have shown that deletions on the short arm of chromosome 17 distal to p53 locus are the most common genetic events in medulloblastoma. We examined the occurrences and frequencies of allelic deletions on chromosome 17p13.1-13.3 by loss of heterozygosity (LOH) analysis to investigate the possible involvement of 17p13.1-13.3 in medulloblastoma development. We also performed survival analysis to determine whether LOH analysis of 17p13.1-13.3 can be used to predict prognosis in medulloblastoma. Loss of heterozygosity was analyzed by polymerase chain reaction on chromosome 17p13.1-13.3 using three microsatellite markers, TP53 on 17p13.1, D17S796 on 17p13.1-13.2, and D17S1574 on 17p13.3, in 17 medulloblastoma DNAs extracted either from archival tissue or fresh frozen tissue specimens. Allelic deletions were detected in five of 17 informative cases (29%) on TP53, eight of 17 informative cases (47%) on D17S796, and four of 17 informative cases (24%) on D17S1574. Overall, nine of 17 cases (53%) showed LOH on chromosome 17p13.1-13.3. The 5-year progression free survival (PFS) and 5-year overall survival rates were identical (59%). The 5-year PFS for nine medulloblastoma patients with LOH on 17p13.1-13.3 was 56%, and the 5-year PFS for eight medulloblastoma patients without LOH on 17p13.1-13.3 was 63%. In our survival analysis, we did not find a significant association between survival and LOH on 17p13.1-13.3. Our results support the notion that deletions of chromosome 17p13.1-13.3 may be involved in the pathogenesis of medulloblastoma. From survival analysis, we conclude that LOH on chromosome 17p13.1-13.3 may not be a significant predictor of prognosis in medulloblastoma.

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Year:  2004        PMID: 15072446     DOI: 10.1023/b:neon.0000021773.71127.fb

Source DB:  PubMed          Journal:  J Neurooncol        ISSN: 0167-594X            Impact factor:   4.130


  18 in total

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Journal:  Genes Chromosomes Cancer       Date:  1992-07       Impact factor: 5.006

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Journal:  J Neurooncol       Date:  1995       Impact factor: 4.130

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Journal:  Genes Chromosomes Cancer       Date:  1995-10       Impact factor: 5.006

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Journal:  Childs Nerv Syst       Date:  1998-06       Impact factor: 1.475

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  7 in total

Review 1.  Emerging treatments and gene expression profiling in high-risk medulloblastoma.

Authors:  Iacopo Sardi; Duccio Cavalieri; Maura Massimino
Journal:  Paediatr Drugs       Date:  2007       Impact factor: 3.022

2.  Identification of transmembrane protein 88 (TMEM88) as a dishevelled-binding protein.

Authors:  Ho-Jin Lee; David Finkelstein; Xiaofeng Li; Dianqing Wu; De-Li Shi; Jie J Zheng
Journal:  J Biol Chem       Date:  2010-11-02       Impact factor: 5.157

3.  Treatment of pediatric average-risk medulloblastoma using craniospinal irradiation less than 2500 cGy and chemotherapy: single center experience in Korea.

Authors:  Jong Hyung Yoon; Kyung Duk Park; Hyoung Jin Kang; Hyery Kim; Ji Won Lee; Seung-Ki Kim; Kyu-Chang Wang; Sung-Hye Park; Il Han Kim; Hee Young Shin
Journal:  World J Pediatr       Date:  2017-05-27       Impact factor: 2.764

4.  Expression of Gli1 and PARP1 in medulloblastoma: an immunohistochemical study of 65 cases.

Authors:  Joze Pizem; Mara Popovic; Andrej Cör
Journal:  J Neurooncol       Date:  2010-10-16       Impact factor: 4.130

5.  MicroRNA 22 regulates cell cycle length in cerebellar granular neuron precursors.

Authors:  Jordi Berenguer; Antonio Herrera; Laura Vuolo; Blanca Torroba; Franc Llorens; Lauro Sumoy; Sebastian Pons
Journal:  Mol Cell Biol       Date:  2013-05-13       Impact factor: 4.272

6.  Chromosome 17 alterations identify good-risk and poor-risk tumors independently of clinical factors in medulloblastoma.

Authors:  Martin G McCabe; L Magnus Bäcklund; Hui Sun Leong; Koichi Ichimura; V Peter Collins
Journal:  Neuro Oncol       Date:  2011-02-02       Impact factor: 12.300

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Authors:  Massimiliano De Bortoli; Robert C Castellino; Xin-Yan Lu; Jeffrey Deyo; Lisa Marie Sturla; Adekunle M Adesina; Laszlo Perlaky; Scott L Pomeroy; Ching C Lau; Tsz-Kwong Man; Pulivarthi H Rao; John Y H Kim
Journal:  BMC Cancer       Date:  2006-09-12       Impact factor: 4.430

  7 in total

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