Literature DB >> 24551291

Chromosomal and genetic imbalances in Chinese patients with rhabdomyosarcoma detected by high-resolution array comparative genomic hybridization.

Chunxia Liu1, Dongliang Li2, Jianming Hu3, Jinfang Jiang3, Wei Zhang4, Yunzhao Chen3, Xiaobin Cui3, Yan Qi3, Hong Zou3, Wenjie Zhang3, Feng Li1.   

Abstract

Rhabdomyosarcoma (RMS) is the most common soft-tissue sarcoma in children. Although associations between ARMS tumorigenesis and PAX3, PAX7, and FKHR are well recognized, the complete genetic etiology underlying RMS pathogenesis and progression remains unclear. Chromosomal copy number variations (CNVs) and the involved genes may play important roles in the pathogenesis and progression of human malignancies. Using high-resolution array comparative genomic hybridization (aCGH), we examined 20 formalin-fixed, paraffin-embedded (FFPE) RMS tumors to explore the involvement of the relevant chromosomal regions with resident genes in RMS tumorigenesis. In RMS, frequent gains were identified on chromosome regions 12q13.3-q14.1, 12q24.31, 17q25.1, 1q21.1, and 7q11.23, whereas frequent losses were observed on chromosome regions 5q13.2, 14q32.33, and 15q11.2. Amplifications were observed on chromosome regions 9p13.3, 12q13.3-q14.1, 12q15, and 16p13.11, whereas deletions were detected on chromosome regions 1p36.33, 1p13.1, 2q11.1, 5q13.2, 8p23.1, 9p24.3, and 16p11.2. Frequent gains were detected in GLI1, GEFT, OS9, and CDK4 (12q13.3-q14.1), being 60% in embryonal rhabdomyosarcoma (ERMS) and 66.67% in alveolar rhabdomyosarcoma (ARMS), respectively. However, frequent losses were detected in IGHG1, IGHM, IGHG3, and IGHG4 (14q32.33), being 70% in ERMS and 55.56% in and ARMS, respectively. Frequent gains were detected in TYROBP, HCST, LRFN3, and ALKBH6 (19q13.12) in ERMS but not in ARMS. The frequency of TYROBP, HCST, LRFN3, and ALKBH6 gains is significantly different in ERMS versus ARMS (P=0.011). The results suggest that novel TYROBP, HCST, LRFN3, and ALKBH6 genes may play important roles in ERMS. The technique used is a feasible approach for array comparative genomic hybridization analysis in archival tumor samples.

Entities:  

Keywords:  Rhabdomyosarcoma; array comparative genomic hybridization; chromosomal imbalance

Mesh:

Substances:

Year:  2014        PMID: 24551291      PMCID: PMC3925915     

Source DB:  PubMed          Journal:  Int J Clin Exp Pathol        ISSN: 1936-2625


  30 in total

1.  PAX--FKHR fusion genes and AChR-gamma in Chinese patients with rhabdomyosarcoma: diagnosis using formalin-fixed archival tissues.

Authors:  Bin Chang; Li Juan Pang; Yan Qi; Chun Xia Liu; Ying Cao; Hong An Li; Wen Hao Hu; Jin Fang Jiang; Wen Jie Zhang; Feng Li
Journal:  Int J Surg Pathol       Date:  2008-11-06       Impact factor: 1.271

2.  High-resolution array CGH identifies common mechanisms that drive embryonal rhabdomyosarcoma pathogenesis.

Authors:  Vera Paulson; Garvin Chandler; Dinesh Rakheja; Rene L Galindo; Kathleen Wilson; James F Amatruda; Scott Cameron
Journal:  Genes Chromosomes Cancer       Date:  2011-03-15       Impact factor: 5.006

3.  High-resolution analysis of paraffin-embedded and formalin-fixed prostate tumors using comparative genomic hybridization to genomic microarrays.

Authors:  Pamela L Paris; Donna G Albertson; Janneke C Alers; Armann Andaya; Peter Carroll; Jane Fridlyand; Ajay N Jain; Sherwin Kamkar; David Kowbel; Pieter-Jaap Krijtenburg; Daniel Pinkel; Fritz H Schröder; Kees J Vissers; Vivienne J E Watson; Mark F Wildhagen; Colin Collins; Herman Van Dekken
Journal:  Am J Pathol       Date:  2003-03       Impact factor: 4.307

4.  The rho exchange factors vav2 and vav3 control a lung metastasis-specific transcriptional program in breast cancer cells.

Authors:  Carmen Citterio; Mauricio Menacho-Márquez; Ramón García-Escudero; Romain M Larive; Olga Barreiro; Francisco Sánchez-Madrid; Jesús M Paramio; Xosé R Bustelo
Journal:  Sci Signal       Date:  2012-10-02       Impact factor: 8.192

5.  Genomic imbalances in rhabdomyosarcoma cell lines affect expression of genes frequently altered in primary tumors: an approach to identify candidate genes involved in tumor development.

Authors:  Edoardo Missiaglia; Joanna Selfe; Mohamed Hamdi; Daniel Williamson; Gerben Schaaf; Cheng Fang; Jan Koster; Brenda Summersgill; Boo Messahel; Rogier Versteeg; Kathy Pritchard-Jones; Marcel Kool; Janet Shipley
Journal:  Genes Chromosomes Cancer       Date:  2009-06       Impact factor: 5.006

6.  Integrated array-comparative genomic hybridization and expression array profiles identify clinically relevant molecular subtypes of glioblastoma.

Authors:  Janice M Nigro; Anjan Misra; Li Zhang; Ivan Smirnov; Howard Colman; Chandi Griffin; Natalie Ozburn; Mingang Chen; Edward Pan; Dimpy Koul; W K Alfred Yung; Burt G Feuerstein; Kenneth D Aldape
Journal:  Cancer Res       Date:  2005-03-01       Impact factor: 12.701

7.  Gene expression-based molecular diagnostic system for malignant gliomas is superior to histological diagnosis.

Authors:  Mitsuaki Shirahata; Kyoko Iwao-Koizumi; Sakae Saito; Noriko Ueno; Masashi Oda; Nobuo Hashimoto; Jun A Takahashi; Kikuya Kato
Journal:  Clin Cancer Res       Date:  2007-12-15       Impact factor: 12.531

8.  A Rac/Cdc42-specific exchange factor, GEFT, induces cell proliferation, transformation, and migration.

Authors:  Xiangrong Guo; Lewis Joe Stafford; Brad Bryan; Chunzhi Xia; Wenbin Ma; Xiushan Wu; Dan Liu; Zhou Songyang; Mingyao Liu
Journal:  J Biol Chem       Date:  2003-01-23       Impact factor: 5.157

9.  Classification of human astrocytic gliomas on the basis of gene expression: a correlated group of genes with angiogenic activity emerges as a strong predictor of subtypes.

Authors:  Sophie Godard; Gad Getz; Mauro Delorenzi; Pierre Farmer; Hiroyuki Kobayashi; Isabelle Desbaillets; Michimasa Nozaki; Annie-Claire Diserens; Marie-France Hamou; Pierre-Yves Dietrich; Luca Regli; Robert C Janzer; Philipp Bucher; Roger Stupp; Nicolas de Tribolet; Eytan Domany; Monika E Hegi
Journal:  Cancer Res       Date:  2003-10-15       Impact factor: 12.701

10.  A new non-linear normalization method for reducing variability in DNA microarray experiments.

Authors:  Christopher Workman; Lars Juhl Jensen; Hanne Jarmer; Randy Berka; Laurent Gautier; Henrik Bjørn Nielser; Hans-Henrik Saxild; Claus Nielsen; Søren Brunak; Steen Knudsen
Journal:  Genome Biol       Date:  2002-08-30       Impact factor: 13.583

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  6 in total

1.  Embryonal rhabdomyosarcoma of the paranasal sinuses: a case report and review of literature.

Authors:  Pei-Xue Wu; Yan-Fang Liang; Jin-Cheng Zeng; Jian-Bo Ruan; Dong-Ping Kang; Can Chen; Tao Zeng; Qiu-Liang Wu; Wei-Hua Xu
Journal:  Int J Clin Exp Med       Date:  2014-08-15

2.  Correlations of telomere length, P53 mutation, and chromosomal translocation in soft tissue sarcomas.

Authors:  Chunxia Liu; Bingcheng Li; Li Li; Haijun Zhang; Yunzhao Chen; Xiaobin Cui; Jianming Hu; Jingfang Jiang; Yan Qi; Feng Li
Journal:  Int J Clin Exp Pathol       Date:  2015-05-01

3.  Overexpression of GEFT, a Rho family guanine nucleotide exchange factor, predicts poor prognosis in patients with rhabdomyosarcoma.

Authors:  Chao Sun; Chunxia Liu; Shugang Li; Hongan Li; Yuanyuan Wang; Yuwen Xie; Bingcheng Li; Xiaobin Cui; Yunzhao Chen; Wenjie Zhang; Feng Li
Journal:  Int J Clin Exp Pathol       Date:  2014-03-15

4.  GEFT protein expression in digestive tract malignant tumors and its clinical significance.

Authors:  Yuanyuan Wang; Bing Zhang; Ge Gao; Yinping Zhang; Qingxin Xia
Journal:  Oncol Lett       Date:  2019-09-24       Impact factor: 2.967

Review 5.  Rhabdomyosarcoma: Advances in Molecular and Cellular Biology.

Authors:  Xin Sun; Wei Guo; Jacson K Shen; Henry J Mankin; Francis J Hornicek; Zhenfeng Duan
Journal:  Sarcoma       Date:  2015-09-01

6.  GEFT aberrant expression in soft tissue sarcomas.

Authors:  Yang Liu; Shengnan Qi; Lian Meng; Liang Zhang; Yuwen Pang; Wenwen Cui; Juan Du; Zhenzhen Li; Qianqian Liu; Hao Shang; Chunxia Liu; Feng Li
Journal:  Transl Cancer Res       Date:  2019-02       Impact factor: 1.241

  6 in total

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