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Aim: To explore biomarkers with a tumor stage-dependent expression pattern in patients with colorectal cancer (CRC). Background: The fourth most common cancer in the world is colorectal cancer (CRC). A variation in the gene expression rate is a common change in cancers initiation and the accumulation of these variation changes the behavior of normal cells and turns them into cancer cells. Methods: Real-time RT-PCR was used to investigate the expression patterns of the FOXM1, PYROXD1, hTERT, BMI, PPARA, PIM3 and MCTP1 genes in 54 patients with stage I to IV CRC and their relation with clinicopathological features of CRC were analyzed. Results: FOXM1, hTERT and MCTP1 genes are overexpressed in CRC tumor tissues when compared to normal adjacent tissues in all the stages. Results FOXM1, PYROXD1, hTERT, PM3, BMI1, PPARA and MCTP1 had-stage dependent expression. Investigation of the association between clinicopathological features and expression pattern of the studied genes revealed; a) a significant relationship between FOXM1 gene expression level and tumor stage, tumor size and lymph node involvement, b) a considerable association between alterations in PPARA and PIM3 expression and lymph node involvement, c) a notable correlation between hTERT expression level and the tumor stage and d) a strong correlation between MCTP1 expression and patient's age only. Conclusion: Our study indicates that expression profiles of these genes either individually or together can be applied as potential biomarkers for prognosis of CRC. [ABSTRACT FROM AUTHOR]

Aim: Efforts to explore biomarkers and biological pathways involved in the disease are needed to improve colorectal cancer (CRC) diagnosis and alternative treatments Background: The fourth common malignancy in the world is colorectal cancer. The over-all burden is predicted to rise by 2030. Methods: In the current study, nine genes were selected. Previously, a panel of genes by Agendia, a classifier of robust gene expression (ColoPrint), was determined to significantly improve the prognostic accuracy of pathologic factors in stage II and III colorectal cancer patients. Five genes, including Ppara, Mctp1, Pyroxd1, Il2r, and Cyfip2, from this panel and four other genes which were not in this panel but were cited abundantly in the literature were selected. Then, expression levels of the selected genes in CRC tissue were compared with levels in adjacent normal tissue. To identify the pathways involved in CRC, gene set enrichment analysis was subsequently performed. Furthermore, to illustrate the relationship between genes in this disease, the cross-shaped co-expression pattern and gene regulatory network were determined using computational methods. Results: This research found that the pairs of genes: {Il2r, Cyfip2}, {Foxm1, Ppara}, {Mctp1, Ctsc} and {Pyroxd1, Cyfip2} are functionally related. Furthermore, two differentially expressed gene pairs {Foxm1, Ppara} and {Il2r, Cyfip2} are involved in the vascular endothelial growth factor receptor signaling pathway and the purine ribonucleoside diphosphate metabolic process, respectively. Conclusion: This research found that the combination of computational analysis and laboratory data provided the opportunity to better characterize the relation between central colorectal cancer genes as well as possible pathways involved in the colorectal cancer. [ABSTRACT FROM AUTHOR]

Background: To make the right treatment decisions about colorectal cancer (CRC) patients reliable predictive and prognostic data are needed. However, in many cases this data is not enough. Some studies suggest that LRIG1 gene (leucine-rich repeats and immunoglobulin-like domains1) has prognostic implications in different kinds of cancers. Methods: One hundred and two patients with colorectal cancer were retrospectively analyzed for LRIG1 expression at both mRNA and protein levels. SYBR Green Real-Time RT-PCR technique was used for mRNA expression analyses and Glyceraldehyde-3-Phosphate Dehydrogenase gene (GAPDH) was considered as a reference gene for data normalization. LRIG1 protein expression was analyzed using Immunohistochemistry. Additionally, appropriate statistic analyses were used to assess the expression of LRIG1 in test and control groups. The prognostic significance of LRIG1 expression was analyzed using the univariate and multivariate analyses. Results: The data revealed that the expression of LRIG1 in both mRNA and protein levels was down regulated in colorectal tumor tissues (P < 0.01) but is not clinically relevant prognostic indicator in CRC. Conclusions: Therefore, it is suggested that LRIG1 expression analyses may not be considered as an important issue when making informed and individualized clinical decisions regarding the management of colorectal cancer patients. [ABSTRACT FROM AUTHOR]