|
|
Blood, 15 August 2004, Vol. 104, No. 4, pp. 923-932.
Prepublished online as a Blood First Edition Paper on May 20, 2004; DOI 10.1182/blood-2004-01-0274.
 Previous Article | Table of Contents | Next Article 
REVIEW ARTICLES
Genomic approaches to hematologic malignancies
Benjamin L. Ebert, and
Todd R. Golub
From the Departments of Medical Oncology and Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA; the Broad Institute of the Massachusetts Institute of Technology and Harvard; and the Howard Hughes Medical Institute.
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.
 CiteULike  Connotea  Del.icio.us  Digg  Reddit  Technorati What's this?
This article has been cited by other articles:
|
|
|
|
 
G. Sandusky, C. Dumaual, and L. Cheng
REVIEW PAPER: Human Tissues for Discovery Biomarker Pharmaceutical Research: The Experience of the Indiana University Simon Cancer Center-Lilly Research Labs Tissue/Fluid BioBank
Vet. Pathol.,
January 1, 2009;
46(1):
2 - 9.
[Full Text]
[PDF]
|
|
|
|
|
|
|
M. Jongen-Lavrencic, S. M. Sun, M. K. Dijkstra, P. J. M. Valk, and B. Lowenberg
MicroRNA expression profiling in relation to the genetic heterogeneity of acute myeloid leukemia
Blood,
May 15, 2008;
111(10):
5078 - 5085.
[Abstract]
[Full Text]
[PDF]
|
|
|
|
|
|
|
R. J. Byers, E. Sakhinia, P. Joseph, C. Glennie, J. A. Hoyland, L. P. Menasce, J. A. Radford, and T. Illidge
Clinical quantitation of immune signature in follicular lymphoma by RT-PCR-based gene expression profiling
Blood,
May 1, 2008;
111(9):
4764 - 4770.
[Abstract]
[Full Text]
[PDF]
|
|
|
|
|
|
|
S. Mi, J. Lu, M. Sun, Z. Li, H. Zhang, M. B. Neilly, Y. Wang, Z. Qian, J. Jin, Y. Zhang, et al.
MicroRNA expression signatures accurately discriminate acute lymphoblastic leukemia from acute myeloid leukemia
PNAS,
December 11, 2007;
104(50):
19971 - 19976.
[Abstract]
[Full Text]
[PDF]
|
|
|
|
|
|
|
J. Shin, S. Monti, D. J. Aires, M. Duvic, T. Golub, D. A. Jones, and T. S. Kupper
Lesional gene expression profiling in cutaneous T-cell lymphoma reveals natural clusters associated with disease outcome
Blood,
October 15, 2007;
110(8):
3015 - 3027.
[Abstract]
[Full Text]
[PDF]
|
|
|
|
|
|
|
E. Sakhinia, C. Glennie, J. A. Hoyland, L. P. Menasce, G. Brady, C. Miller, J. A. Radford, and R. J. Byers
Clinical quantitation of diagnostic and predictive gene expression levels in follicular and diffuse large B-cell lymphoma by RT-PCR gene expression profiling
Blood,
May 1, 2007;
109(9):
3922 - 3928.
[Abstract]
[Full Text]
[PDF]
|
|
|
|
|
|
|
J. P. A. Ioannidis
Is Molecular Profiling Ready for Use in Clinical Decision Making?
Oncologist,
March 1, 2007;
12(3):
301 - 311.
[Abstract]
[Full Text]
[PDF]
|
|
|
|
|
|
|
R. J. Byers, D. Di Vizio, F. O'Connell, E. Tholouli, R. M. Levenson, K. Gossard, D. Twomey, Y. Yang, E. Benedettini, J. Rose, et al.
Semiautomated Multiplexed Quantum Dot-Based in Situ Hybridization and Spectral Deconvolution
J. Mol. Diagn.,
February 1, 2007;
9(1):
20 - 29.
[Abstract]
[Full Text]
[PDF]
|
|
|
|
|
|
|
J. Choi, Y. K. Hwang, K. W. Sung, S. H. Lee, K. H. Yoo, H. L. Jung, H. H. Koo, H.-J. Kim, H. J. Kang, H. Y. Shin, et al.
Expression of Livin, an antiapoptotic protein, is an independent favorable prognostic factor in childhood acute lymphoblastic leukemia
Blood,
January 15, 2007;
109(2):
471 - 477.
[Abstract]
[Full Text]
[PDF]
|
|
|
|
|
|
|
P. Guglielmelli, R. Zini, C. Bogani, S. Salati, A. Pancrazzi, E. Bianchi, F. Mannelli, S. Ferrari, M.-C. Le Bousse-Kerdiles, A. Bosi, et al.
Molecular Profiling of CD34+ Cells in Idiopathic Myelofibrosis Identifies a Set of Disease-Associated Genes and Reveals the Clinical Significance of Wilms' Tumor Gene 1 (WT1)
Stem Cells,
January 1, 2007;
25(1):
165 - 173.
[Abstract]
[Full Text]
[PDF]
|
|
|
|
|
|
|
J. Greiner, M. Schmitt, L. Li, K. Giannopoulos, K. Bosch, A. Schmitt, K. Dohner, R. F. Schlenk, J. R. Pollack, H. Dohner, et al.
Expression of tumor-associated antigens in acute myeloid leukemia: implications for specific immunotherapeutic approaches
Blood,
December 15, 2006;
108(13):
4109 - 4117.
[Abstract]
[Full Text]
[PDF]
|
|
|
|
|
|
|
S. Horvath, B. Zhang, M. Carlson, K. V. Lu, S. Zhu, R. M. Felciano, M. F. Laurance, W. Zhao, S. Qi, Z. Chen, et al.
Analysis of oncogenic signaling networks in glioblastoma identifies ASPM as a molecular target
PNAS,
November 14, 2006;
103(46):
17402 - 17407.
[Abstract]
[Full Text]
[PDF]
|
|
|
|
|
|
|
E Sakhinia, M Farahangpour, E Tholouli, J A Liu Yin, J A Hoyland, and R J Byers
Comparison of gene-expression profiles in parallel bone marrow and peripheral blood samples in acute myeloid leukaemia by real-time polymerase chain reaction
J. Clin. Pathol.,
October 1, 2006;
59(10):
1059 - 1065.
[Abstract]
[Full Text]
[PDF]
|
|
|
|
|
|
|
J. Riss, C. Khanna, S. Koo, G. V.R. Chandramouli, H. H. Yang, Y. Hu, D. E. Kleiner, A. Rosenwald, C. F. Schaefer, S. A. Ben-Sasson, et al.
Cancers as Wounds that Do Not Heal: Differences and Similarities between Renal Regeneration/Repair and Renal Cell Carcinoma.
Cancer Res.,
July 15, 2006;
66(14):
7216 - 7224.
[Abstract]
[Full Text]
[PDF]
|
|
|
|
|
|
|
D. Bhojwani, H. Kang, N. P. Moskowitz, D.-J. Min, H. Lee, J. W. Potter, G. Davidson, C. L. Willman, M. J. Borowitz, I. Belitskaya-Levy, et al.
Biologic pathways associated with relapse in childhood acute lymphoblastic leukemia: a Children's Oncology Group study
Blood,
July 15, 2006;
108(2):
711 - 717.
[Abstract]
[Full Text]
[PDF]
|
|
|
|
|
|
|
A. Tefferi
Pathogenesis of Myelofibrosis With Myeloid Metaplasia
J. Clin. Oncol.,
November 20, 2005;
23(33):
8520 - 8530.
[Abstract]
[Full Text]
[PDF]
|
|
|
|
|
|
|
P. R. Nambiar, S. R. Boutin, R. Raja, and D. W. Rosenberg
Global Gene Expression Profiling: A Complement to Conventional Histopathologic Analysis of Neoplasia
Vet. Pathol.,
November 1, 2005;
42(6):
735 - 752.
[Abstract]
[Full Text]
[PDF]
|
|
|
|
|
|
|
S. Maia, W. N. Haining, S. Ansen, Z. Xia, S. A. Armstrong, N. P. Seth, P. Ghia, M. L. den Boer, R. Pieters, S. E. Sallan, et al.
Gene Expression Profiling Identifies BAX-{delta} as a Novel Tumor Antigen in Acute Lymphoblastic Leukemia
Cancer Res.,
November 1, 2005;
65(21):
10050 - 10058.
[Abstract]
[Full Text]
[PDF]
|
|
|
|
|
|
|
L. Bullinger and P. J.M. Valk
Gene Expression Profiling in Acute Myeloid Leukemia
J. Clin. Oncol.,
September 10, 2005;
23(26):
6296 - 6305.
[Abstract]
[Full Text]
[PDF]
|
|
|
|
|
|
|
J. Soulier, E. Clappier, J.-M. Cayuela, A. Regnault, M. Garcia-Peydro, H. Dombret, A. Baruchel, M.-L. Toribio, and F. Sigaux
HOXA genes are included in genetic and biologic networks defining human acute T-cell leukemia (T-ALL)
Blood,
July 1, 2005;
106(1):
274 - 286.
[Abstract]
[Full Text]
[PDF]
|
|
|
|
|
