Literature DB >> 15155462

Genomic approaches to hematologic malignancies.

Benjamin L Ebert1, Todd R Golub.   

Abstract

In the past several years, experiments using DNA microarrays have contributed to an increasingly refined molecular taxonomy of hematologic malignancies. In addition to the characterization of molecular profiles for known diagnostic classifications, studies have defined patterns of gene expression corresponding to specific molecular abnormalities, oncologic phenotypes, and clinical outcomes. Furthermore, novel subclasses with distinct molecular profiles and clinical behaviors have been identified. In some cases, specific cellular pathways have been highlighted that can be therapeutically targeted. The findings of microarray studies are beginning to enter clinical practice as novel diagnostic tests, and clinical trials are ongoing in which therapeutic agents are being used to target pathways that were identified by gene expression profiling. While the technology of DNA microarrays is becoming well established, genome-wide surveys of gene expression generate large data sets that can easily lead to spurious conclusions. Many challenges remain in the statistical interpretation of gene expression data and the biologic validation of findings. As data accumulate and analyses become more sophisticated, genomic technologies offer the potential to generate increasingly sophisticated insights into the complex molecular circuitry of hematologic malignancies. This review summarizes the current state of discovery and addresses key areas for future research.

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Year:  2004        PMID: 15155462     DOI: 10.1182/blood-2004-01-0274

Source DB:  PubMed          Journal:  Blood        ISSN: 0006-4971            Impact factor:   22.113


  36 in total

1.  Comparison of gene-expression profiles in parallel bone marrow and peripheral blood samples in acute myeloid leukaemia by real-time polymerase chain reaction.

Authors:  E Sakhinia; M Farahangpour; E Tholouli; J A Liu Yin; J A Hoyland; R J Byers
Journal:  J Clin Pathol       Date:  2006-04-27       Impact factor: 3.411

2.  Semiautomated multiplexed quantum dot-based in situ hybridization and spectral deconvolution.

Authors:  Richard J Byers; Dolores Di Vizio; Fionnuala O'connell; Eleni Tholouli; Richard M Levenson; Kirk Gossage; Kirk Gossard; David Twomey; Yu Yang; Elisa Benedettini; Joshua Rose; Keith L Ligon; Stephen P Finn; Todd R Golub; Massimo Loda
Journal:  J Mol Diagn       Date:  2007-02       Impact factor: 5.568

3.  Genomic expression profiling across the pediatric systemic inflammatory response syndrome, sepsis, and septic shock spectrum.

Authors:  Hector R Wong; Natalie Cvijanovich; Geoffrey L Allen; Richard Lin; Nick Anas; Keith Meyer; Robert J Freishtat; Marie Monaco; Kelli Odoms; Bhuvaneswari Sakthivel; Thomas P Shanley
Journal:  Crit Care Med       Date:  2009-05       Impact factor: 7.598

4.  Chromatin structure and gene expression programs of human embryonic and induced pluripotent stem cells.

Authors:  Matthew G Guenther; Garrett M Frampton; Frank Soldner; Dirk Hockemeyer; Maya Mitalipova; Rudolf Jaenisch; Richard A Young
Journal:  Cell Stem Cell       Date:  2010-08-06       Impact factor: 24.633

5.  Biologic pathways associated with relapse in childhood acute lymphoblastic leukemia: a Children's Oncology Group study.

Authors:  Deepa Bhojwani; Huining Kang; Naomi P Moskowitz; Dong-Joon Min; Hokyung Lee; Jeffrey W Potter; George Davidson; Cheryl L Willman; Michael J Borowitz; Ilana Belitskaya-Levy; Stephen P Hunger; Elizabeth A Raetz; William L Carroll
Journal:  Blood       Date:  2006-07-15       Impact factor: 22.113

6.  Molecular classification of rhabdomyosarcoma--genotypic and phenotypic determinants of diagnosis: a report from the Children's Oncology Group.

Authors:  Elai Davicioni; Michael J Anderson; Friedrich Graf Finckenstein; James C Lynch; Stephen J Qualman; Hiroyuki Shimada; Deborah E Schofield; Jonathan D Buckley; William H Meyer; Poul H B Sorensen; Timothy J Triche
Journal:  Am J Pathol       Date:  2009-01-15       Impact factor: 4.307

7.  Gene expression signatures in childhood acute leukemias are largely unique and distinct from those of normal tissues and other malignancies.

Authors:  Anna Andersson; Patrik Edén; Tor Olofsson; Thoas Fioretos
Journal:  BMC Med Genomics       Date:  2010-03-08       Impact factor: 3.063

Review 8.  A decade of genome-wide gene expression profiling in acute myeloid leukemia: flashback and prospects.

Authors:  Bas J Wouters; Bob Löwenberg; Ruud Delwel
Journal:  Blood       Date:  2008-08-14       Impact factor: 22.113

9.  Overexpression of X-linked inhibitor of apoptosis protein (XIAP) is an independent unfavorable prognostic factor in childhood de novo acute myeloid leukemia.

Authors:  Ki Woong Sung; Jaewon Choi; Yu Kyeong Hwang; Sang Jin Lee; Hee-Jin Kim; Ju Youn Kim; Eun Joo Cho; Keon Hee Yoo; Hong Hoe Koo
Journal:  J Korean Med Sci       Date:  2009-07-29       Impact factor: 2.153

10.  Identification of pediatric septic shock subclasses based on genome-wide expression profiling.

Authors:  Hector R Wong; Natalie Cvijanovich; Richard Lin; Geoffrey L Allen; Neal J Thomas; Douglas F Willson; Robert J Freishtat; Nick Anas; Keith Meyer; Paul A Checchia; Marie Monaco; Kelli Odom; Thomas P Shanley
Journal:  BMC Med       Date:  2009-07-22       Impact factor: 8.775

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