![]() |
|
|
A more recent version of this article appeared on June 1, 2004 Originally published as MBoC in Press, 10.1091/mbc.E03-11-0786 on May 7, 2004
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Submitted on November 4, 2003
Revised on January 28, 2004
Accepted on March 3, 2004
1 Department of Surgery, Stanford University School of Medicine, Stanford, CA; Department of Urology, Stanford University School of Medicine, Stanford, CA
2 Department of Genetics, Norwegian Radium Hospital, University of Oslo, Oslo, Norway
3 Department of Surgery, Stanford University School of Medicine, Stanford, CA
4 Department of Pathology, Stanford University School of Medicine, Stanford, CA
5 Department of Pathology, Norwegian Radium Hospital, University of Oslo, Oslo, Norway
6 Department of Statistics, Stanford University School of Medicine, Stanford, CA
7 Department of Surgery, Akershus University Hospital, 1474 Nordbyhagen, Norway
8 Department of Surgery, Ulleval University Hospital, Oslo, Norway
9 Department of Genetics, Stanford University School of Medicine, Stanford, CA; Institute for Integrative Genomics, Princeton University, Princeton, NJ
10 Department of Surgery, Stanford University School of Medicine, MSLS Building, Room P214, 1201 Welch Road M/C 5494, Stanford CA 94305
* Corresponding author. E-mail address: ssj{at}stanford.edu.
Invasive ductal carcinoma (IDC) and invasive lobular carcinoma (ILC) are the two major histological types of breast cancer worldwide. While IDC incidence has remained stable, ILC is the most rapidly increasing breast cancer phenotype in the U.S. and Western Europe. It is not clear whether IDC and ILC represent molecularly distinct entities and what genes might be involved in the development of these two phenotypes. We conducted comprehensive gene expression profiling studies to address these questions. Total RNA from 21 ILCs, 38 IDCs, 2 lymph node metastases, and 3 normal tissues were amplified and hybridized to
42,000 clone cDNA microarrays. Data was analyzed using hierarchical clustering algorithms and statistical analyses that identify differentially expressed genes (SAM) and minimal subsets of genes (PAM) that succinctly distinguish ILCs and IDCs. 11/21 (52%) of the ILCs ("typical" ILCs) clustered together and displayed different gene expression profiles from IDCs, while the other ILCs ("ductal-like" ILCs) were distributed between different IDC subtypes. Many of the differentially expressed genes between ILCs and IDCs code for proteins involved in cell adhesion/motility, lipid/fatty acid transport and metabolism, immune/defense response, and electron transport. Many genes that distinguish typical and ductal-like ILCs are involved in regulation of cell growth and immune response. Our data strongly suggest that over half the ILCs differ from IDCs not only in histological and clinical features, but also in global transcription programs. The remaining ILCs closely resemble IDCs in their transcription patterns. Further studies are needed to explore the differences between ILC molecular subtypes and determine whether they require different therapeutic strategies.
This article has been cited by other articles:
![]() |
P.-K. Lo, J. S. Lee, X. Liang, L. Han, T. Mori, M. J. Fackler, H. Sadik, P. Argani, T. K. Pandita, and S. Sukumar Epigenetic Inactivation of the Potential Tumor Suppressor Gene FOXF1 in Breast Cancer Cancer Res., July 15, 2010; 70(14): 6047 - 6058. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. Lupien, J. Eeckhoute, C. A. Meyer, S. A. Krum, D. R. Rhodes, X. S. Liu, and M. Brown Coactivator Function Defines the Active Estrogen Receptor Alpha Cistrome Mol. Cell. Biol., June 15, 2009; 29(12): 3413 - 3423. [Abstract] [Full Text] [PDF] |
||||
![]() |
K. Liu, N. Bellam, H.-Y. Lin, B. Wang, C. R. Stockard, W. E. Grizzle, and W.-C. Lin Regulation of p53 by TopBP1: a Potential Mechanism for p53 Inactivation in Cancer Mol. Cell. Biol., May 15, 2009; 29(10): 2673 - 2693. [Abstract] [Full Text] [PDF] |
||||
![]() |
W. Xian, L. Pappas, D. Pandya, L. M. Selfors, P. W. Derksen, M. de Bruin, N. S. Gray, J. Jonkers, J. M. Rosen, and J. S. Brugge Fibroblast Growth Factor Receptor 1-Transformed Mammary Epithelial Cells Are Dependent on RSK Activity for Growth and Survival Cancer Res., March 15, 2009; 69(6): 2244 - 2251. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. E. Nolan, V. Aranda, S. Lee, B. Lakshmi, S. Basu, D. C. Allred, and S. K. Muthuswamy The Polarity Protein Par6 Induces Cell Proliferation and Is Overexpressed in Breast Cancer Cancer Res., October 15, 2008; 68(20): 8201 - 8209. [Abstract] [Full Text] [PDF] |
||||
![]() |
E. A. Rakha, J. S. Reis-Filho, and I. O. Ellis Basal-Like Breast Cancer: A Critical Review J. Clin. Oncol., May 20, 2008; 26(15): 2568 - 2581. [Abstract] [Full Text] [PDF] |
||||
![]() |
Y. Wang, D. M. Ikeda, B. Narasimhan, T. A. Longacre, R. J. Bleicher, S. Pal, R. J. Jackman, and S. S. Jeffrey Estrogen Receptor-Negative Invasive Breast Cancer: Imaging Features of Tumors with and without Human Epidermal Growth Factor Receptor Type 2 Overexpression Radiology, February 1, 2008; 246(2): 367 - 375. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. Wu, D. R. Soler, M. C. Abba, M. I. Nunez, R. Baer, C. Hatzis, A. Llombart-Cussac, A. Llombart-Bosch, and C. M. Aldaz CtIP Silencing as a Novel Mechanism of Tamoxifen Resistance in Breast Cancer Mol. Cancer Res., December 1, 2007; 5(12): 1285 - 1295. [Abstract] [Full Text] [PDF] |
||||
![]() |
K. G. Leong, K. Niessen, I. Kulic, A. Raouf, C. Eaves, I. Pollet, and A. Karsan Jagged1-mediated Notch activation induces epithelial-to-mesenchymal transition through Slug-induced repression of E-cadherin J. Exp. Med., November 26, 2007; 204(12): 2935 - 2948. [Abstract] [Full Text] [PDF] |
||||
![]() |
L. Lusa, L. M. McShane, J. F. Reid, L. De Cecco, F. Ambrogi, E. Biganzoli, M. Gariboldi, and M. A. Pierotti Challenges in Projecting Clustering Results Across Gene Expression Profiling Datasets J Natl Cancer Inst, November 21, 2007; 99(22): 1715 - 1723. [Abstract] [Full Text] [PDF] |
||||
![]() |
A. A.N. Rose, F. Pepin, C. Russo, J. E. Abou Khalil, M. Hallett, and P. M. Siegel Osteoactivin Promotes Breast Cancer Metastasis to Bone Mol. Cancer Res., October 1, 2007; 5(10): 1001 - 1014. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. C. Abba, H. Sun, K. A. Hawkins, J. A. Drake, Y. Hu, M. I. Nunez, S. Gaddis, T. Shi, S. Horvath, A. Sahin, et al. Breast Cancer Molecular Signatures as Determined by SAGE: Correlation with Lymph Node Status Mol. Cancer Res., September 1, 2007; 5(9): 881 - 890. [Abstract] [Full Text] [PDF] |
||||
![]() |
A. Buness, R. Kuner, M. Ruschhaupt, A. Poustka, H. Sultmann, and A. Tresch Identification of aberrant chromosomal regions from gene expression microarray studies applied to human breast cancer Bioinformatics, September 1, 2007; 23(17): 2273 - 2280. [Abstract] [Full Text] [PDF] |
||||
![]() |
A. M. Trauernicht, S. J. Kim, N. H. Kim, and T. G. Boyer Modulation of Estrogen Receptor {alpha} Protein Level and Survival Function by DBC-1 Mol. Endocrinol., July 1, 2007; 21(7): 1526 - 1536. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. C. Abba, V. T. Fabris, Y. Hu, F. S. Kittrell, W.-W. Cai, L. A. Donehower, A. Sahin, D. Medina, and C. M. Aldaz Identification of Novel Amplification Gene Targets in Mouse and Human Breast Cancer at a Syntenic Cluster Mapping to Mouse ch8A1 and Human ch13q34 Cancer Res., May 1, 2007; 67(9): 4104 - 4112. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. Nicolau, R. Tibshirani, A.-L. Borresen-Dale, and S. S. Jeffrey Disease-specific genomic analysis: identifying the signature of pathologic biology Bioinformatics, April 15, 2007; 23(8): 957 - 965. [Abstract] [Full Text] [PDF] |
||||
![]() |
Y. Ma, Y. Qian, L. Wei, J. Abraham, X. Shi, V. Castranova, E. J. Harner, D. C. Flynn, and L. Guo Population-Based Molecular Prognosis of Breast Cancer by Transcriptional Profiling Clin. Cancer Res., April 1, 2007; 13(7): 2014 - 2022. [Abstract] [Full Text] [PDF] |
||||
![]() |
F. Kolpakov, V. Poroikov, R. Sharipov, Y. Kondrakhin, A. Zakharov, A. Lagunin, L. Milanesi, and A. Kel CYCLONET--an integrated database on cell cycle regulation and carcinogenesis Nucleic Acids Res., January 12, 2007; 35(suppl_1): D550 - D556. [Abstract] [Full Text] [PDF] |
||||
![]() |
D. Wang, Y. Lv, Z. Guo, X. Li, Y. Li, J. Zhu, D. Yang, J. Xu, C. Wang, S. Rao, et al. Effects of replacing the unreliable cDNA microarray measurements on the disease classification based on gene expression profiles and functional modules Bioinformatics, December 1, 2006; 22(23): 2883 - 2889. [Abstract] [Full Text] [PDF] |
||||
![]() |
H. Xiong Non-linear tests for identifying differentially expressed genes or genetic networks Bioinformatics, April 15, 2006; 22(8): 919 - 923. [Abstract] [Full Text] [PDF] |
||||
![]() |
D. E. Stange, B. Radlwimmer, F. Schubert, F. Traub, A. Pich, G. Toedt, F. Mendrzyk, U. Lehmann, R. Eils, H. Kreipe, et al. High-Resolution Genomic Profiling Reveals Association of Chromosomal Aberrations on 1q and 16p with Histologic and Genetic Subgroups of Invasive Breast Cancer Clin. Cancer Res., January 15, 2006; 12(2): 345 - 352. [Abstract] [Full Text] [PDF] |
||||
![]() |
X. Wang, H. Zhao, Q. Xu, W. Jin, C. Liu, H. Zhang, Z. Huang, X. Zhang, Y. Zhang, D. Xin, et al. HPtaa database-potential target genes for clinical diagnosis and immunotherapy of human carcinoma Nucleic Acids Res., January 1, 2006; 34(suppl_1): D607 - D612. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. S. Jeffrey, P. E. Lonning, and B. E. Hillner Genomics-Based Prognosis and Therapeutic Prediction in Breast Cancer J Natl Compr Canc Netw, May 1, 2005; 3(3): 291 - 300. [Abstract] [PDF] |
||||
![]() |
M Lacroix, R-A Toillon, and G Leclercq Stable 'portrait' of breast tumors during progression: data from biology, pathology and genetics Endocr. Relat. Cancer, September 1, 2004; 11(3): 497 - 522. [Abstract] [Full Text] [PDF] |
||||