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Cancer Research 67, 7113-7123, August 1, 2007. doi: 10.1158/0008-5472.CAN-07-0260
© 2007 American Association for Cancer Research

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Molecular Biology, Pathobiology, and Genetics

Profiling Microdissected Epithelium and Stroma to Model Genomic Signatures for Cervical Carcinogenesis Accommodating for Covariates

David Gius1, Margo C. Funk2, Eric Y. Chuang1, Sheng Feng3, Phyllis C. Huettner4, Loan Nguyen2, C. Matthew Bradbury1, Mark Mishra1, Shuping Gao1, Barbara M. Buttin2, David E. Cohn2, Matthew A. Powell2, Neil S. Horowitz2, Bradford P. Whitcomb2 and Janet S. Rader2

1 Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, Maryland and 2 Division of Gynecologic Oncology, Department of Obstetrics and Gynecology; 3 Division of Biostatistics; and 4 Lauren V. Ackerman Laboratory of Surgical Pathology, Washington University School of Medicine, St. Louis, Missouri

Requests for reprints: David Gius, Radiation Oncology Branch, National Cancer Institute, NIH, 9000 Rockville Pike, Bethesda, MD 20892. Phone: 301-496-5457; Fax: 301-480-5439; E-mail: giusd{at}mail.nih.gov and Janet S. Rader, Departments of Obstetrics and Gynecology and Genetics, Washington University School of Medicine, 4911 Barnes-Jewish Hospital Plaza Box 8064, St. Louis, MO 63110. Phone: 314-362-3181; Fax: 314-362-2893; E-mail: raderj{at}wustl.edu.

This study is the first comprehensive, integrated approach to examine grade-specific changes in gene expression along the entire neoplastic spectrum of cervical intraepithelial neoplasia (CIN) in the process of cervical carcinogenesis. This was accomplished by identifying gene expression signatures of disease progression using cDNA microarrays to analyze RNA from laser-captured microdissected epithelium and underlying stroma from normal cervix, graded CINs, cancer, and patient-matched normal cervical tissues. A separate set of samples were subsequently validated using a linear mixed model that is ideal to control for interpatient gene expression profile variation, such as age and race. These validated genes were ultimately used to propose a genomically based model of the early events in cervical neoplastic transformation. In this model, the CIN 1 transition coincides with a proproliferative/immunosuppression gene signature in the epithelium that probably represents the epithelial response to human papillomavirus infection. The CIN 2 transition coincides with a proangiogenic signature, suggesting a cooperative signaling interaction between stroma and tumor cells. Finally, the CIN 3 and squamous cell carcinoma antigen transition coincide with a proinvasive gene signature that may be a response to epithelial tumor cell overcrowding. This work strongly suggests that premalignant cells experience a series of microenvironmental stresses at the epithelium/stroma cell interface that must be overcome to progress into a transformed phenotype and identifies the order of these events in vivo and their association with specific CIN transitions. [Cancer Res 2007;67(15):7113–23]




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Z. Zhang, I. Borecki, L. Nguyen, D. Ma, K. Smith, P. C. Huettner, D. G. Mutch, T. J. Herzog, R. K. Gibb, M. A. Powell, et al.
CD83 Gene Polymorphisms Increase Susceptibility to Human Invasive Cervical Cancer
Cancer Res., December 1, 2007; 67(23): 11202 - 11208.
[Abstract] [Full Text] [PDF]




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Cancer Epidemiology Biomarkers & Prevention Molecular Cancer Therapeutics
Molecular Cancer Research Cancer Prevention Research
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Annual Meeting Education Book Meeting Abstracts Online
Copyright © 2007 by the American Association for Cancer Research.