-H3 is a significant, robust, and independent prognostic factor to colon cancer OS.

A meta-analysis was conducted on the incidence of colon cancer in patients with ulcerative colitis (UC). This study aimed to evaluate the correlation between UC and colon cancer, and provide a theoretical guidance for clinical diagnoses and treatments of UC.

Articles were searched in Chinese database with „ulcerative colitis”, „UC”, „colon cancer”, „colorectal cancer”, „incidence”, and „meta-analysis” as the search terms. Articles were searched in English database with „ulcerative colitis”, „UC”, „colon cancer”, „incidence rate”, and „meta-analysis” as the search terms. Moreover, articles with the topic of „correlation between UC and colon cancer” were screened. The quality of articles was assessed using Rev Man 5.3 software provided by Cochrane system.

Eleven articles were included, most of which were of medium and high quality. Results of meta-analysis showed that 12,216 patients with UC were included in this study, and 110 patients developed colon cancer. There was statistical heterogeneity (Chi

=103.10, I

=90%, P<0.00001). Random-effect model analyses showed that there were no significant differences between colon cancer in patients with UC and those without colon cancer (Z=12.44, P<0.00001). A systematic review of articles found that the course and development of colon cancer in patients with UC might affect the occurrence of colon cancer. UC was a risk factor for colorectal cancer.

It was found that the course of disease and the occurrence and development of UC might affect the occurrence of colon cancer through a systematic review of articles. UC was one of the risk factors of colorectal cancer.

It was found that the course of disease and the occurrence and development of UC might affect the occurrence of colon cancer through a systematic review of articles. UC was one of the risk factors of colorectal cancer.

The aim of this study was to explore the relationship between melanoma antigen gene C1 (

) expression and the prognosis for colorectal cancer (CRC), and to establish a mathematical model to comprehensively evaluate the prognosis of patients with CRC.

was selected by bioinformatics for its greater expression differences in CRC patients. Immunohistochemistry (IHC) was used to detect the expression level of

in tissue samples of 156 patients with CRC. Kaplan-Meier analysis was employed to assess the relationship between

and the prognosis of patients with CRC. Univariate and multivariate Cox regression models analyzed the factors affecting the prognosis of CRC patients. Also, the clinicopathological characteristics of patients and genes with clinical concern were integrated to establish a model to comprehensively predict the prognosis of patients with CRC.

was found to be highly expressed in 28.8% of CRC patients.

expression was associated with tumor size, number, and metastasis. Survival analysis showed that CRC patients with high expression of

had a poor prognosis. Regression analysis demonstrated that

protein status, T stage, differentiation, Kirsten rat sarcoma (

) status, and v-RAF murine sarcoma viral oncogene homolog B1 (

) status were the independent factors influencing the overall survival of patients with CRC. Meanwhile,

combined with clinicopathological characteristics and hotspot gene mutations could be used to evaluate the prognosis of CRC.

Our study shows that

is differentially expressed in patients with CRC and affects the prognosis of patients. The combination of

, clinicopathological characteristics, and genes with clinical concern can be used to assess the prognosis of CRC.

Our study shows that MAGE-C1 is differentially expressed in patients with CRC and affects the prognosis of patients. The combination of MAGE-C1, clinicopathological characteristics, and genes with clinical concern can be used to assess the prognosis of CRC.

This study had the goal of investigating whether an association exists between the prognosis of patients with colorectal carcinoma (CRC) and the neutrophil-lymphocyte ratio/prealbumin ratio (NLR/PA) and methyltransferase-like protein 11B (

) expression.

First, the differentially expressed gene

was screened in The Cancer Genome Atlas (TCGA) database, and the expression of

was verified in the GEPIA (Gene Expression Profiling Interactive Analysis) and TCGA databases. The clinical information of 100 patients who underwent CRC surgery at Jiangsu Cancer Hospital was retrospectively evaluated. Immunohistochemistry was used to further analyze

expression in CRC tissues from the patients. Patients were monitored for 3 years to assess survival. The Kaplan-Meier technique and log-rank test were employed for single-factor survival analysis; for multifactor analysis, the Cox regression approach was adopted. Nomograms were built for internal verification.

expression was higher in cancer tissues than in neig predictive biomarker and therapeutic target for individuals with this disease.

Increases in NLR/PA and METTL11B expression are linked to a poor prognosis of CRC. NLR/PA combined with METTL11B has a certain prognostic value for CRC. Moreover, METTL11B has the potential to be a new predictive biomarker and therapeutic target for individuals with this disease.

Peripheral blood cell count is the most common clinical laboratory test. Neutrophil-to-lymphocyte ratio (NLR) as an economic marker has been reported in various cancer types. It is believed that NLR is associated with the prognosis and treatment outcomes of some cancers. Low baseline NLR has been reported as associated with better overall survival (OS) in advanced cancer patients. In this study, we aimed to determine whether the changes of NLR may predict the outcome of metastatic colorectal carcinoma (mCRC) patients treated with folinic acid, fluorouracil, and oxaliplatin (FOLFOX) combined with bevacizumab/cetuximab.

The clinical data obtained from 128 mCRC patients between January 2014 and December 2018 were retrospectively analyzed. The NLR values of patients were calculated after 4 cycles of treatments. Kaplan-Meier analysis and Cox regression modeling were performed to assess the impact of NLR dynamics on OS and progression-free survival (PFS).

Among the 128 participants, the optimum pre-treatment NLR cutoff value was 3. A total of 70 (54.7%) participants had a pre-treatment of NLR lower than 3. The median of PFS was 9.1 months for NLR <3 compared with 6.1 months for pre-treatment NLR >3. A lower pre-treatment NLR was significantly associated with better PFS (P<0.001), but not associated with OS (P=0.064). A total of 94 (73.4%) participants had a post-treatment NLR <3, which was associated with better PFS and OS (P=0.007). However, changes in NLR significantly affected PFS and OS. Decrease in post-treatment NLR was associated with longer PFS and OS. Patients with changes from low pre-treatment NLR to high post-treatment NLR had worse OS and PFS than that of NLR changes from high to low.

It is not the NLR but the changes of NLR that may predict the efficacy of FOLFOX treatment in mCRC patients.

It is not the NLR but the changes of NLR that may predict the efficacy of FOLFOX treatment in mCRC patients.

This study sought to explore the value of the neutrophil to lymphocyte ratio (NLR) and interleukin-6 (IL-6) in predicting the prognosis of patients with non-metastatic colorectal cancer (CRC).

The data of 88 surgical CRC patients were retrospectively analyzed. A receiver operating characteristic (ROC) curve analysis was conducted to determine the patients’ thresholds for the NLR and IL-6. Kaplan-Meier curve and Cox regression models were used to assess the prognostic values.

A ROC analysis was conducted to calculate the NLR cut-off value. The area under the curve (AUC) of the NLR was 0.739 [95% confidence interval (CI) 0.634 to 0.844] for overall survival (OS), and 0.799 (95% CI 0.705 to 0.892) for disease-free survival (DFS). The AUC of IL-6 was 0.773 (95% CI 0.670 to 0.876) for OS, and 0.817 (95% CI 0.728 to 0.906) for DFS. The AUC of NLR + IL-6 was 0.805 (95% CI 0.710 to 0.899) for OS and 0.853 (95% CI 0.774 to 0.933) for DFS, which were higher than the NLR or IL-6 alone AUCs for OS and DFS. In addition, a high NLR and IL-6 value was significantly correlated with tumor differentiation and tumor-node-metastasis staging. The NLR was positively correlated with IL-6 level (r=0.481). The results of the Kaplan-Meier analysis showed that a high NLR + IL-6 value was correlated with worse OS and DFS.

A high NLR and IL-6 value is a better independent prognostic biomarker of CRC than the NLR or IL-6 level alone, and may be applied in clinical practice to identify high-risk patients.

A high NLR and IL-6 value is a better independent prognostic biomarker of CRC than the NLR or IL-6 level alone, and may be applied in clinical practice to identify high-risk patients.

Colorectal cancer (CRC) is one of the deadliest cancers worldwide. It is the fourth most deadly cancer in the world with nearly 900,000 people die every year, the progression of polyps into cancer as one of its most common developmental pathways.

This study obtained gene chip data collections from the Gene Expression Omnibus for colorectal adenoma (GSE8671) and colorectal cancer (GSE32323). Differentially expressed genes (DEGs) in normal tissue and different stages of CRC were analyzed for clustering, comparison, and visualization using R software. The Cytoscape plugin DyNetViewer was used to construct a dynamic protein-protein interaction network. Subsequently, through the Database for Annotation, Visualization and Integrated Discovery, the DEGs were functionally annotated and path enriched.

Our study found that the matrix metalloprotein family and chemokines were the key regulatory genes that drove CRC progression. The Wnt signaling pathway, chemokine signaling pathway, and CRC pathway were the pathological pathways for CRC. Maintenance played an important role in this process. In addition, the related nodes and pathways at various stages may be potential mechanisms for promoting dynamic CRC progression.

Our study provides a better understanding of the dynamic pattern of molecular interaction networks during CRC progression and provides relevant markers for more accurate screening of cancer in polyps.

Our study provides a better understanding of the dynamic pattern of molecular interaction networks during CRC progression and provides relevant markers for more accurate screening of cancer in polyps.

A large number of studies have shown that ulcerative colitis (UC) can increase the risk of colorectal cancer (CRC). The purpose of the present study was to explore the specific mechanism of UC influence on CRC.

We searched PubMed for articles related to CRC and colitis since the establishment of the database until April 2021. Keywords, such as ulcerative colitis, colorectal cancer, and relevance, were used for the article search. Two investigators read through the full text according to the inclusion and exclusion criteria to screen the articles. Cochrane system review manual (version 5.3) was adopted to evaluate the quality of the selected articles. Then, data was extracted, and the overall risk of UC patients into CRC, the course of the disease, and the region were systematically analyzed.

A total of 11 studies involving 26,765 patients with UC were included. The results showed that UC is one of the risk factors for CRC. we also found that geographical location also had an impact on the transition from UC to CRC, but the impact was not significant.