Common cancer biomarkers.

Published

Journal Article

There is an increasing interest in complementing conventional histopathologic evaluation with molecular tools that could increase the sensitivity and specificity of cancer staging for diagnostic and prognostic purposes. This study strove to identify cancer-specific markers for the molecular detection of a broad range of cancer types. We used 373 archival samples inclusive of normal tissues of various lineages and benign or malignant tumors (predominantly colon, melanoma, ovarian, and esophageal cancers). All samples were processed identically and cohybridized with an identical reference RNA source to a custom-made cDNA array platform. The database was split into training (n = 201) and comparable prediction (n = 172) sets. Leave-one-out cross-validation and gene pairing analysis identified putative cancer biomarkers overexpressed by malignant lesions independent of tissue of derivation. In particular, seven gene pairs were identified with high predictive power (87%) in segregating malignant from benign lesions. Receiver operator characteristic curves based on the same genes could segregate malignant from benign tissues with 94% accuracy. The relevance of this study rests on the identification of a restricted number of biomarkers ubiquitously expressed by cancers of distinct histology. This has not been done before. These biomarkers could be used broadly to increase the sensitivity and accuracy of cancer staging and early detection of locoregional or systemic recurrence. Their selective expression by cancerous compared with paired normal tissues suggests an association with the oncogenic process resulting in stable expression during disease progression when the presently used differentiation markers are unreliable.

Full Text

Duke Authors

Cited Authors

  • Basil, CF; Zhao, Y; Zavaglia, K; Jin, P; Panelli, MC; Voiculescu, S; Mandruzzato, S; Lee, HM; Seliger, B; Freedman, RS; Taylor, PR; Hu, N; Zanovello, P; Marincola, FM; Wang, E

Published Date

  • March 15, 2006

Published In

Volume / Issue

  • 66 / 6

Start / End Page

  • 2953 - 2961

PubMed ID

  • 16540643

Pubmed Central ID

  • 16540643

International Standard Serial Number (ISSN)

  • 0008-5472

Digital Object Identifier (DOI)

  • 10.1158/0008-5472.CAN-05-3433

Language

  • eng

Conference Location

  • United States