Literature DB >> 9823299

Gene expression profiling of alveolar rhabdomyosarcoma with cDNA microarrays.

J Khan1, R Simon, M Bittner, Y Chen, S B Leighton, T Pohida, P D Smith, Y Jiang, G C Gooden, J M Trent, P S Meltzer.   

Abstract

Several forms of human sarcoma, lymphoma, and leukemia are characterized by somatically acquired chromosome translocations that result in fusion genes that encode chimeric transcription factors with oncogenic properties. We have used cDNA microarrays containing 1238 cDNAs to investigate the gene expression profile of a group of seven alveolar rhabdomyosarcoma (ARMS) cell lines characterized by the presence of the PAX3-FKHR fusion gene. Using the method of multidimensional scaling to represent the relationships among the cell lines in two-dimensional Euclidean space, we determined that ARMS cells show a consistent pattern of gene expression, which allows the cells to be clustered together. By searching across the seven ARMS cell lines, we found that 37 of 1238 genes were most consistently expressed in ARMS relative to a reference cell line. Only three of these genes have been previously reported to be expressed in ARMS. Among these 37 were genes related to both primary (PAX3-FKHR) and secondary (CDK4) genetic alterations in ARMS. These results in ARMS demonstrate the potential of cDNA microarray technology to elucidate tumor-specific gene expression profiles in human cancers.

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Year:  1998        PMID: 9823299

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  93 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  1999-08-03       Impact factor: 11.205

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Journal:  Proc Natl Acad Sci U S A       Date:  2000-08-01       Impact factor: 11.205

4.  Quantitative quality control in microarray image processing and data acquisition.

Authors:  X Wang; S Ghosh; S W Guo
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5.  Expression profiling of human tumors: the end of surgical pathology?

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6.  A common reference for cDNA microarray hybridizations.

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7.  Application of comparative genomic hybridization, spectral karyotyping, and microarray analysis in the identification of subtype-specific patterns of genomic changes in rhabdomyosarcoma.

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10.  Comprehensive genomic analysis of rhabdomyosarcoma reveals a landscape of alterations affecting a common genetic axis in fusion-positive and fusion-negative tumors.

Authors:  Jack F Shern; Li Chen; Juliann Chmielecki; Jun S Wei; Rajesh Patidar; Mara Rosenberg; Lauren Ambrogio; Daniel Auclair; Jianjun Wang; Young K Song; Catherine Tolman; Laura Hurd; Hongling Liao; Shile Zhang; Dominik Bogen; Andrew S Brohl; Sivasish Sindiri; Daniel Catchpoole; Thomas Badgett; Gad Getz; Jaume Mora; James R Anderson; Stephen X Skapek; Frederic G Barr; Matthew Meyerson; Douglas S Hawkins; Javed Khan
Journal:  Cancer Discov       Date:  2014-01-23       Impact factor: 39.397

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