Gene expression profiles of human breast cancer progression

Although distinct pathological stages of breast cancer have been described, the molecular differences among these stages are largely unknown. Here, through the combined use of laser capture microdissection and DNA microarrays, we have generated in situ gene expression profiles of the premalignant, preinvasive, and invasive stages of human breast cancer. Our data reveal extensive similarities at the transcriptome level among the distinct stages of progression and suggest that gene expression alterations conferring the potential for invasive growth are already present in the preinvasive stages. In contrast to tumor stage, different tumor grades are associated with distinct gene expression signatures. Furthermore, a subset of genes associated with high tumor grade is quantitatively correlated with the transition from preinvasive to invasive growth.

[1]  H M Jensen,et al.  On the origin and progression of ductal carcinoma in the human breast. , 1973, Journal of the National Cancer Institute.

[2]  D. Page,et al.  Combined histologic and cytologic criteria for the diagnosis of mammary atypical ductal hyperplasia. , 1992, Human pathology.

[3]  AC Tose.  Cell , 1993, Cell.

[4]  M. Gerretsen,et al.  A phase III randomised trial of cisplatinum, methotrextate, cisplatinum + methotrexate and cisplatinum + 5-FU in end stage squamous carcinoma of the head and neck. Liverpool Head and Neck Oncology Group. , 1990, British Journal of Cancer.

[5]  M. J. van de Vijver,et al.  Ductal carcinoma in situ: a proposal for a new classification. , 1994, Seminars in diagnostic pathology.

[6]  L. Liotta,et al.  Identical allelic loss on chromosome 11q13 in microdissected in situ and invasive human breast cancer. , 1995, Cancer research.

[7]  A. Thor,et al.  Loss of Heterozygosity in Normal Tissue Adjacent to Breast Carcinomas , 1996, Science.

[8]  J. Wright,et al.  Ribonucleotide reductase R2 component is a novel malignancy determinant that cooperates with activated oncogenes to determine transformation and malignant potential. , 1996, Proceedings of the National Academy of Sciences of the United States of America.

[9]  Ross Ihaka,et al.  Gentleman R: R: A language for data analysis and graphics , 1996 .

[10]  J. Wright,et al.  The mammalian ribonucleotide reductase R2 component cooperates with a variety of oncogenes in mechanisms of cellular transformation. , 1998, Cancer research.

[11]  P. O’Connell,et al.  Analysis of loss of heterozygosity in 399 premalignant breast lesions at 15 genetic loci. , 1998, Journal of the National Cancer Institute.

[12]  J. Hudson,et al.  In vivo gene expression profile analysis of human breast cancer progression. , 1999, Cancer research.

[13]  M. Jackson,et al.  Gene expression profiles of laser-captured adjacent neuronal subtypes , 1999, Nature Medicine.

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

[15]  Leslie W Dalton,et al.  Histologic Grading of Breast Cancer: Linkage of Patient Outcome with Level of Pathologist Agreement , 2000, Modern Pathology.

[16]  L. Tabár,et al.  A new era in the diagnosis of breast cancer. , 2000, Surgical oncology clinics of North America.

[17]  S. Martino,et al.  Prediction of Node-Negative Breast Cancer Outcome by Histologic Grading and S-Phase Analysis by Flow Cytometry: An Eastern Cooperative Oncology Group Study (2192) , 2001, American journal of clinical oncology.

[18]  S. Fuqua,et al.  Histological and biological evolution of human premalignant breast disease. , 2001, Endocrine-related cancer.

[19]  J. Marks,et al.  A SAGE (serial analysis of gene expression) view of breast tumor progression. , 2001, Cancer research.

[20]  M. Watson,et al.  Expression Profiling of Ductal Carcinoma in Situ by Laser Capture Microdissection and High-Density O , 2001 .

[21]  L. Holmberg,et al.  Tumour markers in breast carcinoma correlate with grade rather than with invasiveness , 2001, British Journal of Cancer.

[22]  Yudong D. He,et al.  Gene expression profiling predicts clinical outcome of breast cancer , 2002, Nature.

[23]  S. Dudoit,et al.  Normalization for cDNA microarray data: a robust composite method addressing single and multiple slide systematic variation. , 2002, Nucleic acids research.

[24]  J. Coindre,et al.  Breast ductal carcinoma in situ with microinvasion , 2002, Cancer.