Novel Blood-Based, Five-Gene Biomarker Set for the Detection of Colorectal Cancer

Abstract

Purpose: We applied a unique method to identify genes expressed in whole blood that can serve as biomarkers to detect colorectal cancer (CRC). Experimental Design:Total RNA was isolated from 211blood samples (110 non-CRC,101CRC). Microarray and quantitative real-time PCR were used for biomarker screening and validation, respectively. Results: From a set of 31 RNA samples (16 CRC, 15 controls), we selected 37 genes from analyzed microarray data that differed significantly between CRC samples and controls (P < 0.05).We tested these genes with a second set of 115 samples (58 CRC, 57 controls) using quantitative real-time PCR, validating 17 genes as differentially expressed. Five of these genes were selected for logistic regression analysis, of which two were the most up-regulated (CDA and MGC20553) and three were the most down-regulated (BANK1, BCNP1, and MS4A1) in CRC patients. Logit

A novel gene expression signature in peripheral blood mononuclear cells for early detection of colorectal cancer

“…Han et al identified and validated a five-gene combination that could discriminate CRC from non-CRC samples with sensitivity and specificity of 94% and 77% respectively. 8 Two genes of the combination, CDA and BANK1, were also confirmed to be valuable biomarkers for CRC detection in our study. The same group developed a seven-gene, blood-based biomarker signature that could stratify subjects according to their current relative risk to develop a CRC across a broad range in an average-risk population.…”

A Gene Expression Profile of Peripheral Blood in Colorectal Cancer

“…The Bonferroni adjustment for multiple testing was performed using SISA [25] to control for a family-wise error rate of 0.05, for which a significance level was considered as 0.05/42 = 0.00114. The P-values in the tables are reported in scientific notation if too many digits were needed for the evaluation and to address the issue of et al [14] (Model 2: 7 genes) and Han et al [15] (Model 3: 5 genes) and performed the multivariate logistic regression analysis using the pooled 12 public microarray data sets, in addition to external validation.…”

“…However, the low sensitivities and specificities for these well-known genes are not considered acceptable for the detection of colorectal cancer. Recently, multiple biomarkers were reported for the detection of colorectal cancer that delivered a better sensitivity or specificity [14][15] . In the present study, expression levels of 28 cancerassociated candidate genes from the study of Quyun et al [16] in peripheral blood samples from 111 colorectal cancer patients and 227 non-cancer controls were analyzed using quantitative real time-PCR.…”

“…Sensitivity, specificity, accuracy, positive and negative predictive values, and the area under the curve (AUC) of the discrimination model are reported. Meanwhile, models from the present study (Model 1: five genes), Marshall et al [14] (Model 2: seven genes) and Han et al [15] (Model 3: five genes) were used to validate 17 selected genes by pooling 12 public microarray data sets, in addition to external validation.…”

Dépistage organisé du cancer colorectal en France : Rôle de l’Institut National du Cancer

“…La recherche de l'expression de gènes dans le sang circulant pouvant servir de biomarqueurs de détection du cancer colorectal est en développement. Une étude récente a validé la recherche d'une signature (ARN circulant de 5 gènes, par microarray et RT-PCR quantitative) dans cette indication avec une sensibilité de 94 % et une spécificité de 77 % [20].…”