MicroRNA-126 (miR-126) suppresses the migration, proliferation and invasion of colon cancer cells. However, the underlying mechanisms of miR-126 in colon cancer have not been fully elucidated. In this study, in vivo experiments revealed that miR-126 inhibits colon cancer growth and metastasis. Furthermore, miR-126 was down-regulated in human colon cancer tissue, and its expression was inversely correlated with TNM stage and metastasis of patients. Low level of miR-126 identified patients with poor prognosis. And we found that miR-126 expression was negatively correlated with the expression levels of chemokine (C-X-C motif) receptor 4 (CXCR4) and components of signaling pathway of Ras homolog gene family, member A (RhoA) in vitro and in vivo. Moreover, we verified that miR-126 negatively regulated CXCR4 and RhoA signaling in vitro. In addition, either in miR-126-overexpressing or in miR- 126-silenced colon cancer cells, the restoration of CXCR4 could significantly reverse the proliferation and invasion, as well as abolish the effects of miR-126 on RhoA signaling pathway. Collectively, these results demonstrated that miR-126 acts as a tumor suppressor by inactivating RhoA signaling via CXCR4 in colon cancer. And miR-126 may serve as a prognostic marker for monitoring and treating colon cancer.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5312381PMC
http://dx.doi.org/10.18632/oncotarget.11176DOI Listing

Publication Analysis

Top Keywords

colon cancer
32
proliferation invasion
12
signaling pathway
12
rhoa signaling
12
mir-126
10
colon
8
inhibits colon
8
cancer
8
chemokine c-x-c
8
c-x-c motif
8

Similar Publications

Glycosylation gene expression profiles enable prognosis prediction for colorectal cancer.

Sci Rep

January 2025

Department of Anus and Intestine Surgery, The Affiliated Hospital of Guizhou Medical University, No. 28 Guiyi Street, Yunyan District, Guiyang City, 550004, Guizhou Province, China.

This study developed a prognostic model for patients with colon adenocarcinoma (COAD) based on glycosylation-associated genes. By analyzing TCGA-COAD data, 110 key genes were identified, and a prognostic model incorporating five glycosylation-related genes was constructed. The model exhibits good predictive performance and is significantly associated with clinical features such as age, N stage, M stage, and lymph node count.

View Article and Find Full Text PDF

Background: Vanishing white matter disease (VWMD) is a rare autosomal recessive leukoencephalopathy. It is typified by a gradual loss of white matter in the brain and spinal cord, which results in impairments in vision and hearing, cerebellar ataxia, muscular weakness, stiffness, seizures, and dysarthria cogitative decline. Many reports involve minors.

View Article and Find Full Text PDF

Colon cancer is a leading cause of cancer-related deaths worldwide and has been increasingly linked to the gut microbiome. Clostridium butyricum (CB), a probiotic, has demonstrated potential in influencing colon cancer cell behavior, particularly through the modulation of long non-coding RNAs (lncRNAs) and mRNAs. This study examines the effects of CB on the expression of lncRNAs and mRNAs in SW480 colon cancer cells and their association with apoptosis.

View Article and Find Full Text PDF

Over the last decade, the environmental and wellness cost of antibiotic drug resistance to the societies have been astounding and require urgent attention Metal oxide nanomaterials have been achieved a pull-on deal with its entire applications in biological and photocatalytic applications. The present study conducts a comparative investigation on chemical and biogenic synthesis of zirconium dioxide (ZrO) nanoparticles aimed at enhancing their efficacy in their applications. The plant extract of Passiflora edulis act as a reducing and capping properties offering a sustainable and eco-friendly alternative.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!