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Scolyer, R.

Publications and source records attributed to Scolyer, R..

2 recordsLinked to original sources

Melanotransferrin Functions as a Pro-Oncogenic WNT Agonist: A Yin-Yang Relationship in Melanoma with the WNT Antagonist and Metastasis Suppressor, NDRG1

A persistent mystery in the melanoma field has been the function of one of the first melanoma tumor antigens characterized, namely p97 (melanotransferrin; MTf). While MTf expression increases melanoma cell proliferation, migration, and tumorigenesis, the molecular mechanism responsible is unknown. On the other hand, N-myc down-stream regulated gene 1 (NDRG1) is a potent metastasis suppressor and WNT antagonist. Expression of NDRG1 in melanoma cells suggests a role in inhibiting metastasis, with this study investigating MTfs role in oncogenic signaling. We demonstrate MTf acts as a pro-oncogenic WNT agonist, which down-regulates NDRG1, while silencing MTf increases NDRG1 expression. In contrast, silencing NDRG1 increases MTf expression. These observations demonstrate a bidirectional negative feedback loop and "Yin-Yang" relationship between MTf and NDRG1. Mechanistically, MTf was directly associated with the WNT co-receptor, lipoprotein-receptor 6 (LRP6), and increased total LRP6 expression, activated p-LRP6 (Ser1490), {beta}-catenin, and activated {beta}-catenin (Ser552) levels, with MTf expression inducing their nuclear accumulation. Additionally, MTf expression increased downstream WNT targets, namely cyclin D1 and c-Myc, with c-Myc down-regulating NDRG1 expression. Silencing c-Myc prevented the Yin-Yang relationship between NDRG1 and MTf, indicating c-Myc played a key role in their inverse regulation. Melanoma patient specimens demonstrated that a low NDRG1/MTf ratio was significantly (p = 0.008) associated with lower survival and metastasis. Chemotherapeutic agents that up-regulated NDRG1 depressed MTf and nuclear LRP6 and potently inhibited melanoma xenograft growth in vivo. This study demonstrates MTf acts as a WNT agonist, with a Yin-Yang relationship being observed with the WNT antagonist, NDRG1.

cancer biology↗

bcGST - an interactive bias-correction method to identify over-represented gene-sets in boutique arrays

Motivation: Gene annotation and pathway databases such as Gene Ontology and Kyoto Encyclopedia of Genes and Genomes are important tools in Gene Set Test (GST) that describe gene biological functions and associated pathways. GST aims to establish an association relationship between a gene set of interest and an annotation. Importantly, GST tests for over-representation of genes in an annotation term. One implicit assumption of GST is that the gene expression platform captures the complete or a very large proportion of the genome. However, this assumption is neither satisfied for the increasingly popular boutique array nor the custom designed gene expression profiling platform. Specifically, conventional GST is no longer appropriate due to the gene set selection bias induced during the construction of these platforms.\n\nResults: We propose bcGST, a bias-corrected Gene Set Test by introducing bias correction terms in the contingency table needed for calculating the Fishers Exact Test (FET). The adjustment method works by estimating the proportion of genes captured on the array with respect to the genome in order to assist filtration of annotation terms that would otherwise be falsely included or excluded. We illustrate the practicality of bcGST and its stability through multiple differential gene expression analyses in melanoma and TCGA cancer studies.\n\nAvailability: The bcGST method is made available as a Shiny web application at http://shiny.maths.usyd.edu.au/bcGST/\n\nContact: kevin.wang@sydney.edu.au

bioinformatics↗