Abstract B2-04: Time lapse to cancer: Defining the transition from polyp to colorectal cancer based on telomere metrics

Abstract

Abstract Despite advances in prevention and early detection strategies, colorectal cancer (CRC) remains the second leading cause of cancer death in the United States. The majority of CRC arises from adenomatous polyps. However, only 5% of all people who receive a colonoscopy will have a lesion determined to be at high risk for malignant transformation. Adenomas are primarily classified based on histology, size, degree of dysplasia and limited genetic mutation information. Further characterization of what contributes to or underlies the malignant transformation of polyps is currently lacking, but is essential to further understand the transition from polyp to cancer and factors that lead only a small portion of polyps to progress onto cancer. Although telomere length is a recognized biomarker in multiple cancers, few studies have addressed the comprehensive role of telomeres in CRC progression. Telomere shortening is a fundamental feature of dividing cells related to the age of the cell and is implicated in carcinogenesis. Telomere length is not solely determined by attrition resulting from cell division, but also through telomere maintenance mechanisms (TMM), which are often exploited in malignant cells. In this study, we will measure the telomere profile (consisting of telomere length and TMM) in normal colon epithelium, polyps and the adjacent tumor trios and normal colon epithelium and cancer-free polyp pairs. Our aim is to determine which telomere features distinguish cancer adjacent polyps from cancer free polyps. This is an innovative approach for identifying the definable telomere-related properties that distinguish polyps with malignant potential that remain benign from those that transform to cancer and progress to invasive lesions. Further characterization of the molecular profile of polyps undergoing the transition to cancer that differentiate cancer free polyps has the potential to be utilized in designing optimal treatment options for patients with polyps that carry the risk of CRC. Citation Format: Brooke R. Druliner, Ruth Johnson, Xiaoyang Ruan, Russell Vanderboom, Donna Felmlee Devine, Jill Washechek Aletto, Lisa A. Boardman. Time lapse to cancer: Defining the transition from polyp to colorectal cancer based on telomere metrics. [abstract]. In: Proceedings of the AACR Special Conference on Computational and Systems Biology of Cancer; Feb 8-11 2015; San Francisco, CA. Philadelphia (PA): AACR; Cancer Res 2015;75(22 Suppl 2):Abstract nr B2-04.