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Int J Cancer ; 126(5): 1177-86, 2010 Mar 01.
Article in English | MEDLINE | ID: mdl-19795455

ABSTRACT

Colorectal cancer (CRC) is often curable and preventable using current screening modalities. Unfortunately, screening compliance remains low, partly due to patient dissatisfaction with faecal/endoscopic testing. Recent guidelines advise CRC screening should begin with risk stratification. A blood-based test providing clinically actionable CRC risk information would likely improve screening compliance and enhance clinical decision making. We analyzed 196 gene expression profiles to select candidate CRC biomarkers. qRT-PCR was performed on 642 samples to develop a 7-gene biomarker panel using 112 CRC/120 controls (training set) and 202 CRC/208 controls (independent, blind test set). Panel performance characteristics and disease prevalence (0.7%) were then used to develop a scale assessing an individual's current risk of having CRC based on his/her gene signature. A 7-gene panel (ANXA3, CLEC4D, LMNB1, PRRG4, TNFAIP6, VNN1 and IL2RB) discriminated CRC in the training set (area under the receiver-operating-characteristic curve (ROC AUC), 0.80; accuracy, 73%; sensitivity, 82%; specificity 64%). The independent blind test set confirmed performance (ROC AUC, 0.80; accuracy, 71%; sensitivity, 72%; specificity, 70%). Individual gene profiles were compared against the population results and used to calculate the current relative risk for CRC. We have developed a 7-gene, blood-based biomarker panel that can stratify subjects according to their current relative risk across a broad range in an average-risk population. Across the continuous spectrum of risk as defined by the current relative risk scale, it is possible to identify clinically meaningful reference points that can assist patients and physicians in CRC screening decision making.


Subject(s)
Biomarkers, Tumor/blood , Colorectal Neoplasms/blood , Colorectal Neoplasms/genetics , Early Detection of Cancer/methods , Gene Expression Profiling , Aged , Area Under Curve , Biomarkers, Tumor/genetics , Female , Humans , In Situ Hybridization , Male , Mass Screening/methods , Models, Theoretical , Oligonucleotide Array Sequence Analysis , ROC Curve , Reverse Transcriptase Polymerase Chain Reaction , Risk Factors , Sensitivity and Specificity
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