PubMed Health⌕ Search

PubMed · 16106426

Decrease in LDL receptor-related protein expression and function correlates with advanced stages of Wilms tumors.

Abstract

BACKGROUND: The molecular processes responsible for the invasive phenotype of pediatric Wilms tumors (WT) are poorly understood. A candidate WT suppressor gene (WT1) has been found mutated in a number of these pediatric kidney tumors. However, the disruption of normal WT1 protein function cannot solely explain WT growth. The aim of the present study is to identify new molecular players that regulate the invasive character of WT. PROCEDURE: Fresh frozen samples from 45 renal tumors of Wilms were obtained from the National Wilms Tumor Study Group's Biological Samples Bank. Gelatin zymography, Western blotting, and immunodetection were used to compare tissue biopsies originating from the infiltrating (stage III), metastatic (stage IV), and anaplastic phenotype of Wilms tumors (WT). RESULTS: The expression of the low-density lipoprotein receptor-related protein (LRP) diminished in stage IV and anaplastic WT. Moreover, the expression of RAP, an LRP intracellular chaperone, was also decreased. The diminished expression of LRP and RAP correlated with increased levels of several known extracellular ligands that LRP usually recycles from the extracellular matrix (ECM) environment, including PAI-1, MMP-9, and TIMP-1. The proteolytic processing of MT1-MMP, a functional regulator of LRP, also correlated with the WT invasive phenotype. CONCLUSIONS: The low expression of LRP, whose function is regulated by MT1-MMP and whose activity in recycling ECM-associated proteolytic enzymes becomes drastically diminished in advanced stages of WT, may in part explain the acquired invasive potential of the developing WT pediatric cancer.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Richard R Desrosiers, Marie-Eve Rivard, Paul E Grundy, Borhane Annabi. 2006. Decrease in LDL receptor-related protein expression and function correlates with advanced stages of Wilms tumors.. https://doi.org/10.1002/pbc.20566

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Molecular heterochrony and the evolution of sociality in bumblebees (Bombus terrestris).

Sibling care is a hallmark of social insects, but its evolution remains challenging to explain at the molecular level. The hypothesis that sibling care evolved from ancestral maternal care in primitively eusocial insects has been elaborated to involve heterochronic changes in gene expression. This elaboration leads to the prediction that workers in these species will show patterns of gene expression more similar to foundress queens, who express maternal care behaviour, than to established queens engaged solely in reproductive behaviour. We tested this idea in bumblebees (Bombus terrestris) using a microarray platform with approximately 4500 genes. Unlike the wasp Polistes metricus, in which support for the above prediction has been obtained, we found that patterns of brain gene expression in foundress and queen bumblebees were more similar to each other than to workers. Comparisons of differentially expressed genes derived from this study and gene lists from microarray studies in Polistes and the honeybee Apis mellifera yielded a shared set of genes involved in the regulation of related social behaviours across independent eusocial lineages. Together, these results suggest that multiple independent evolutions of eusociality in the insects might have involved different evolutionary routes, but nevertheless involved some similarities at the molecular level.

Analysis of Variance↗

Inferences on the within-subject coefficient of variation.

The within-subject coefficient of variation (WCV) is widely used as a measure of precision and reproducibility of data in medical and biological science. In this paper, generalized confidence intervals and tests for a single WCV is developed using the concept of generalized pivots under the assumption of one-way random effect model. This approach is further extended to two-sample cases. The resulting procedures are easy to compute and have good properties in term of coverage probabilities and type-I error control at small sample sizes. The proposed methods are illustrated by a real life example.

Analysis of Variance↗