Genome-wide analysis of gene expression in neuroblastomas detected by mass screening
Neuroblastoma (NB) is the most common extracranial solid tumor of childhood and the third most common pediatric cancer. Although numerous factors including patient age, disease stage and genetic abnormalities have been shown to be predictive of outcome, the mechanisms responsible for the highly vari...
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| Veröffentlicht in: | Cancer letters 2005-07, Vol.225 (1), p.111-120 |
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| container_title | Cancer letters |
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| creator | Krause, Alexander Combaret, Valérie Iacono, Isabelle Lacroix, Bruno Compagnon, Christelle Bergeron, Christophe Valsesia-Wittmann, Sandrine Leissner, Philippe Mougin, Bruno Puisieux, Alain |
| description | Neuroblastoma (NB) is the most common extracranial solid tumor of childhood and the third most common pediatric cancer. Although numerous factors including patient age, disease stage and genetic abnormalities have been shown to be predictive of outcome, the mechanisms responsible for the highly variable clinical behavior of this tumor remain largely unknown. In order to gain new insights into the biology of this tumor, we performed microarray analysis and compared the gene expression patterns of NB detected by mass screening, characterized by highly probable spontaneous regression, versus stage 4 NB with poor prognosis. The bioinformatics analysis revealed a set of 19 discriminatory genes that may play a significant role in the natural progression of the disease. Validation of these results and further mechanistic studies would shed new light on the biology of tumor progression, and provide new tools to predict clinical outcome in children with NB. |
| doi_str_mv | 10.1016/j.canlet.2004.10.035 |
| format | Article |
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Although numerous factors including patient age, disease stage and genetic abnormalities have been shown to be predictive of outcome, the mechanisms responsible for the highly variable clinical behavior of this tumor remain largely unknown. In order to gain new insights into the biology of this tumor, we performed microarray analysis and compared the gene expression patterns of NB detected by mass screening, characterized by highly probable spontaneous regression, versus stage 4 NB with poor prognosis. The bioinformatics analysis revealed a set of 19 discriminatory genes that may play a significant role in the natural progression of the disease. 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Although numerous factors including patient age, disease stage and genetic abnormalities have been shown to be predictive of outcome, the mechanisms responsible for the highly variable clinical behavior of this tumor remain largely unknown. In order to gain new insights into the biology of this tumor, we performed microarray analysis and compared the gene expression patterns of NB detected by mass screening, characterized by highly probable spontaneous regression, versus stage 4 NB with poor prognosis. The bioinformatics analysis revealed a set of 19 discriminatory genes that may play a significant role in the natural progression of the disease. Validation of these results and further mechanistic studies would shed new light on the biology of tumor progression, and provide new tools to predict clinical outcome in children with NB.</description><subject>Adrenal glands</subject><subject>Age</subject><subject>Algorithms</subject><subject>Cancer</subject><subject>Child, Preschool</subject><subject>Computational Biology</subject><subject>Disease Progression</subject><subject>Enzymes</subject><subject>Expression profiling</subject><subject>Female</subject><subject>Gene expression</subject><subject>Gene Expression Profiling</subject><subject>Genome</subject><subject>Genomes</subject><subject>Humans</subject><subject>Immunochemistry</subject><subject>Infant</subject><subject>Life Sciences</subject><subject>Male</subject><subject>Mass Screening</subject><subject>Mortality</subject><subject>Neuroblastoma</subject><subject>Neuroblastoma - genetics</subject><subject>Oligonucleotide Array Sequence Analysis</subject><subject>Outcome prediction</subject><subject>Proteins</subject><subject>Software</subject><subject>Tumors</subject><issn>0304-3835</issn><issn>1872-7980</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkV1rFDEUhoNY7Fr9ByIBQfBitvmYTDI3QinaFhZ6U69DJjlTs8wkazLTuv_eDLMoeKFXIS_P-eA8CL2jZEsJbS73W2vCANOWEVKXaEu4eIE2VElWyVaRl2hDOKkrrrg4R69z3hNCRC3FK3RORcuYavgGPdxAiCNUz94BNsEMx-wzjj1-hAAYfh4S5OxjwD7gAHOK3WDyFEeTsYMJ7AQOd0dc_hlnmwCCD49v0FlvhgxvT-8F-vb1y8P1bbW7v7m7vtpVVjRiqiS0xihXdpW8ZhKk5IpxAAmdEU2tjOkY1B1regLCccdc38ue9X3HrbRU8Qv0ae373Qz6kPxo0lFH4_Xt1U4vGSFUyJbKJ1rYjyt7SPHHDHnSo88WhsEEiHPWjVRSKP5_kLY1rVuyTP_wF7iPcyonLIwggstldqHqlbIp5pyg_70oJXoRqfd6FakXkUtaRJay96fmczeC-1N0MleAzysA5cBPHpLO1kOw4HwqWrSL_t8TfgFMx7Aq</recordid><startdate>20050708</startdate><enddate>20050708</enddate><creator>Krause, Alexander</creator><creator>Combaret, Valérie</creator><creator>Iacono, Isabelle</creator><creator>Lacroix, Bruno</creator><creator>Compagnon, Christelle</creator><creator>Bergeron, Christophe</creator><creator>Valsesia-Wittmann, Sandrine</creator><creator>Leissner, Philippe</creator><creator>Mougin, Bruno</creator><creator>Puisieux, Alain</creator><general>Elsevier Ireland Ltd</general><general>Elsevier Limited</general><general>Elsevier</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TO</scope><scope>7U9</scope><scope>H94</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7TK</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope><scope>1XC</scope><scope>VOOES</scope><orcidid>https://orcid.org/0000-0001-9151-6261</orcidid><orcidid>https://orcid.org/0000-0002-9938-3798</orcidid></search><sort><creationdate>20050708</creationdate><title>Genome-wide analysis of gene expression in neuroblastomas detected by mass screening</title><author>Krause, Alexander ; 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| ispartof | Cancer letters, 2005-07, Vol.225 (1), p.111-120 |
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| source | MEDLINE; Elsevier ScienceDirect Journals Complete |
| subjects | Adrenal glands Age Algorithms Cancer Child, Preschool Computational Biology Disease Progression Enzymes Expression profiling Female Gene expression Gene Expression Profiling Genome Genomes Humans Immunochemistry Infant Life Sciences Male Mass Screening Mortality Neuroblastoma Neuroblastoma - genetics Oligonucleotide Array Sequence Analysis Outcome prediction Proteins Software Tumors |
| title | Genome-wide analysis of gene expression in neuroblastomas detected by mass screening |
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