Clusterin as a biomarker in murine and human intestinal neoplasia

Xiaodi Chen, Richard B. Halberg, William M. Ehrhardt, Jose Torrealba, William F. Dove

Research output: Contribution to journalArticlepeer-review

98 Scopus citations

Abstract

Early detection of colorectal cancer is critical for the management of this disease. Biomarkers for early detection of several cancers have been developed and applied clinically in recent years. We have sought to discover candidate biomarkers without the restricted choice of markers placed on microarrays, and without the biological complications of genetic and environmental heterogeneity. We have compared by cDNA subtraction two genetically matched sets of mice, one developing multiple intestinal neoplasia (C57BL/6J-ApcMin) and the other tumor-free (C57BL/6J). One prominent candidate biomarker, clusterin, was then subjected to a series of validation steps. In situ hybridization and immunohistochemistry were used to analyze clusterin expression at a cellular level on a series of murine intestinal and human colonic neoplasms. Elevated clusterin expression was characterized within certain regions of murine and human tumors regardless of tumor stage, location, or mode of initiation. The cells showing high clusterin levels generally lacked differentiation markers and adenomatous polyposis coli antigen. Tumor cells undergoing apoptosis expressed low levels of clusterin. Its specific expression patterns and correlation with cellular events during tumorigenesis make it a useful diagnostic tool in the mouse and a potential contributor to the set of biomarkers for early detection of human colon cancer.

Original languageEnglish (US)
Pages (from-to)9530-9535
Number of pages6
JournalProceedings of the National Academy of Sciences of the United States of America
Volume100
Issue number16
DOIs
StatePublished - Aug 5 2003

ASJC Scopus subject areas

  • General

Fingerprint Dive into the research topics of 'Clusterin as a biomarker in murine and human intestinal neoplasia'. Together they form a unique fingerprint.

Cite this