Identification of novel gene amplifications in breast cancer and coexistence of gene amplification with an activating mutation of PIK3CA.

To identify genetic events that characterize cancer progression, we conducted a comprehensive genetic evaluation of 161 primary breast tumors. Similar to the "mountain-and-hill" view of mutations, gene amplification also shows high- and low-frequency alterations in breast cancers. The frequently amplified genes include the well-known oncogenes ERBB2, FGFR1, MYC, CCND1, and PIK3CA, whereas other known oncogenes that are amplified, although less frequently, include CCND2, EGFR, FGFR2, and NOTCH3. More importantly, by honing in on minimally amplified regions containing three or fewer genes, we identified six new amplified genes: POLD3, IRAK4, IRX2, TBL1XR1, ASPH, and BRD4. We found that both the IRX2 and TBL1XR1 proteins showed higher expression in the malignant cell lines MCF10CA1h and MCF10CA1a than in their precursor, MCF10A, a normal immortalized mammary epithelial cell line. To study oncogenic roles of TBL1XR1, we performed knockdown experiments using a short hairpin RNA approach and found that depletion of TBL1XR1 in MCF10CA1h cells resulted in reduction of cell migration and invasion as well as suppression of tumorigenesis in mouse xenografts. Intriguingly, our mutation analysis showed the presence of activation mutations in the PIK3CA gene in a subset of tumors that also had DNA copy number increases in the PIK3CA locus, suggesting an additive effect of coexisting activating amino acid substitution and dosage increase from amplification. Our gene amplification and somatic mutation analysis of breast primary tumors provides a coherent picture of genetic events, both corroborating and novel, offering insight into the genetic underpinnings of breast cancer progression.

[1]  Joshy George,et al.  Genetic reclassification of histologic grade delineates new clinical subtypes of breast cancer. , 2006, Cancer research.

[2]  L. Hudson,et al.  Enhanced Modulation of Keratinocyte Motility by Transforming Growth Factor-α (TGF-α) Relative to Epidermal Growth Factor (EGF) , 1996 .

[3]  L. Holmberg,et al.  Gene expression profiling spares early breast cancer patients from adjuvant therapy: derived and validated in two population-based cohorts , 2005, Breast Cancer Research.

[4]  J. Ptak,et al.  High Frequency of Mutations of the PIK3CA Gene in Human Cancers , 2004, Science.

[5]  Xin Huang,et al.  Somatic mutation and gain of copy number of PIK3CA in human breast cancer , 2005, Breast Cancer Research.

[6]  Cun-Yu Wang,et al.  TBL1–TBLR1 and β-catenin recruit each other to Wnt target-gene promoter for transcription activation and oncogenesis , 2008, Nature Cell Biology.

[7]  K. Buetow,et al.  Chromatin Remodeling Factors and BRM/BRG1 Expression as Prognostic Indicators in Non-Small Cell Lung Cancer , 2004, Clinical Cancer Research.

[8]  K. Kinzler,et al.  Cancer genes and the pathways they control , 2004, Nature Medicine.

[9]  Stuart Brown,et al.  TBLR1 regulates the expression of nuclear hormone receptor co-repressors , 2006, BMC Cell Biology.

[10]  A. Sparks,et al.  The Genomic Landscapes of Human Breast and Colorectal Cancers , 2007, Science.

[11]  Barbara J. Trask,et al.  Array Comparative Genomic Hybridization Analysis of Genomic Alterations in Breast Cancer Subtypes , 2004, Cancer Research.

[12]  A. Moorman,et al.  Patterning the embryonic heart: identification of five mouse Iroquois homeobox genes in the developing heart. , 2000, Developmental biology.

[13]  Daniel Birnbaum,et al.  Integrated profiling of basal and luminal breast cancers. , 2007, Cancer research.

[14]  N. Crawford,et al.  Bromodomain 4 activation predicts breast cancer survival , 2008, Proceedings of the National Academy of Sciences.

[15]  J. Foekens,et al.  Gene-expression profiles to predict distant metastasis of lymph-node-negative primary breast cancer , 2005, The Lancet.

[16]  Li Li,et al.  High‐resolution genomic and expression analyses of copy number alterations in breast tumors , 2008, Genes, chromosomes & cancer.

[17]  L. Wakefield,et al.  TGF-β switches from tumor suppressor to prometastatic factor in a model of breast cancer progression , 2003 .

[18]  D. Hanahan,et al.  The Hallmarks of Cancer , 2000, Cell.

[19]  Ash A. Alizadeh,et al.  Genome-wide analysis of DNA copy-number changes using cDNA microarrays , 1999, Nature Genetics.

[20]  Ajay N. Jain,et al.  Genomic and transcriptional aberrations linked to breast cancer pathophysiologies. , 2006, Cancer cell.

[21]  Guojun Wu,et al.  Comprehensive analysis of oncogenic effects of PIK3CA mutations in human mammary epithelial cells , 2008, Breast Cancer Research and Treatment.

[22]  A. Tomida,et al.  A new evaluation method for quantifying PI3K activity by HTRF assay. , 2008, Biochemical and biophysical research communications.

[23]  M. Lewis,et al.  Regulated expression patterns of IRX-2, an Iroquois-class homeobox gene, in the human breast , 1999, Cell and Tissue Research.

[24]  Andrew D. Yates,et al.  A screen of the complete protein kinase gene family identifies diverse patterns of somatic mutations in human breast cancer , 2005, Nature Genetics.

[25]  A. Marchetti,et al.  Different Prognostic Roles of Mutations in the Helical and Kinase Domains of the PIK3CA Gene in Breast Carcinomas , 2007, Clinical Cancer Research.

[26]  G. Parmigiani,et al.  The Consensus Coding Sequences of Human Breast and Colorectal Cancers , 2006, Science.

[27]  C. Glass,et al.  TBL1 and TBLR1 phosphorylation on regulated gene promoters overcomes dual CtBP and NCoR/SMRT transcriptional repression checkpoints. , 2008, Molecular cell.

[28]  Joel Greshock,et al.  High resolution genomic analysis of sporadic breast cancer using array-based comparative genomic hybridization , 2005, Breast Cancer Research.

[29]  P. Hall,et al.  An expression signature for p53 status in human breast cancer predicts mutation status, transcriptional effects, and patient survival. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[30]  Y. Maeda,et al.  The prepattern transcription factor Irx2, a target of the FGF8/MAP kinase cascade, is involved in cerebellum formation , 2004, Nature Neuroscience.