Like other noncoding RNAs (ncRNAs), dysregulation of long ncRNAs (lncRNAs) has been associated with various clinicopathological features of colorectal cancer (CRC) patients such as lymph node metastasis (LNM). Recently, three aberrant expressed oncogenic lncRNA (onco‐lncRNAs), including HOXA transcript at the distal tip (HOTTIP), plasmacytoma variant translocation 1 (PVT1), and urothelial carcinoma associated 1 (UCA1) have been reported in LNM. Herein, we compared the diagnostic performance of these lncRNAs as individual biomarkers and as a discriminating panel between LNM CRC patients, nonmetastatic lymph nodes (NLN) and normal healthy subjects. The lncRNAs expression level was measured by quantitative real‐time PCR and analyzed by the Mann‐Whitney U test. The receiver operating characteristic (ROC) curve analysis was applied to evaluate the diagnostic power. The Kaplan‐Meier survival analysis was performed to outline the overall survival (OS) of CRC patients with an abnormal level of lncRNAs. The area under the ROC curve (AUC) of the overexpressed HOTTIP (0.7817; 95% CI, 0.6809‐0.8824), PVT1 (0.8559; 95% CI, 0.7737‐0.9382), and UCA1 (0.8135; 95% CI, 0.722‐0.9051) introduced them as individual CRC biomarkers. As a predictive panel, the AUC values of the HOTTIP, PVT1, and UCA1 for training set were 0.9256 (95% CI, 0.8634‐0.9879; all CRCs), 0.8708 (95% CI, 0.7709‐0.9378; NLN) and 0.9804 (95% CI, 0.9585‐0.9998; LNM), and for validation set were 0.9286 (95% CI, 0.8752‐0.9820; all CRCs), 0.8911 (95% CI, 0.8238‐0.9585; NLN), and 0.9833 (95% CI, 0.9642‐1.002; LNM), respectively. Also, HOTTIP/PVT1/UCA1 panel dysregulation had a marked correlation with patient's OS in training set (logrank test P = 0.0121; hazard ratio [HR], 0.1225; 95% confidence interval [CI], 0.02376‐0.6312), and in validation set (logrank test P < 0.0001, HR, 0.2003; 95% CI, 0.08942‐0.4486). These data showed that the combination of HOTTIP, PVT1, and UCA1 as a predictive panel, has a better diagnostic performance than each of these lncRNAs individually, and could be used for the screening of patients with advanced CRC.

Colorectal cancer (CRC) is the third and second cancer for incidence and mortality worldwide, respectively, and is becoming prevalent in developing countries. Most CRCs derive from polyps, especially adenomatous polyps, which can gradually transform into CRC. The family of Matrix Metalloproteinases (MMPs) plays a critical role in the initiation and progression of CRC. Prominent MMPs, including MMP-1, MMP-2, MMP-7, MMP-8, MMP-9, MMP-12, MMP-13, MMP-14, and MMP-21, have been detected in CRC patients, and the expression of most of them correlates with a poor prognosis. Moreover, many studies have explored the inhibition of MMPs and targeted therapy for CRC, but there is not enough information about the role of MMPs in polyp malignancy. In this review, we discuss the role of MMPs in colorectal cancer and its pathogenesis

A key factor in determining the likely outcome for a patient with colorectal cancer is whether or not the tumour has metastasised to the lymph nodes—information which is also important in assessing any possibilities of lymph node resection so as to improve survival. In this review we perform a wide-range assessment of literature relating to recent developments in gene expression profiling (GEP) of the primary tumour, to determine their utility in assessing node status. A set of characteristic genes seems to be involved in the prediction of lymph node metastasis (LNM) in colorectal patients. Hence, GEP is applicable in personalised/individualised/tailored therapies and provides insights into developing novel therapeutic targets. Not only is GEP useful in prediction of LNM, but it also allows classification based on differences such as sample size, target gene expression, and examination method.

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