Dataset Information

SRGAP1 is a candidate gene for papillary thyroid carcinoma susceptibility.

ABSTRACT:

Background

Papillary thyroid carcinoma (PTC) shows high heritability, yet efforts to find predisposing genes have been largely negative.

Objectives

The objective of this study was to identify susceptibility genes for PTC.

Methods

A genome-wide linkage analysis was performed in 38 families. Targeted association study and screening were performed in 2 large cohorts of PTC patients and controls. Candidate DNA variants were tested in functional studies.

Results

Linkage analysis and association studies identified the Slit-Robo Rho GTPase activating protein 1 gene (SRGAP1) in the linkage peak as a candidate gene. Two missense variants, Q149H and A275T, localized in the Fes/CIP4 homology domain segregated with the disease in 1 family each. One missense variant, R617C, located in the RhoGAP domain occurred in 1 family. Biochemical assays demonstrated that the ability to inactivate CDC42, a key function of SRGAP1, was severely impaired by the Q149H and R617C variants.

Conclusions

Our findings suggest that SRGAP1 is a candidate gene in PTC susceptibility. SRGAP1 is likely a low-penetrant gene, possibly of a modifier type.

SUBMITTER: He H

PROVIDER: S-EPMC3644596 | biostudies-literature | 2013 May

REPOSITORIES: biostudies-literature

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Publications

SRGAP1 is a candidate gene for papillary thyroid carcinoma susceptibility.

He Huiling H Bronisz Agnieszka A Liyanarachchi Sandya S Nagy Rebecca R Li Wei W Huang Yungui Y Akagi Keiko K Saji Motoyasu M Kula Dorota D Wojcicka Anna A Sebastian Nikhil N Wen Bernard B Puch Zbigniew Z Kalemba Michal M Stachlewska Elzbieta E Czetwertynska Malgorzata M Dlugosinska Joanna J Dymecka Kinga K Ploski Rafal R Krawczyk Marek M Morrison Patrick J PJ Ringel Matthew D MD Kloos Richard T RT Jazdzewski Krystian K Symer David E DE Vieland Veronica J VJ Ostrowski Michael M Jarząb Barbara B de la Chapelle Albert A

The Journal of clinical endocrinology and metabolism 20130328 5

<h4>Background</h4>Papillary thyroid carcinoma (PTC) shows high heritability, yet efforts to find predisposing genes have been largely negative.<h4>Objectives</h4>The objective of this study was to identify susceptibility genes for PTC.<h4>Methods</h4>A genome-wide linkage analysis was performed in 38 families. Targeted association study and screening were performed in 2 large cohorts of PTC patients and controls. Candidate DNA variants were tested in functional studies.<h4>Results</h4>Linkage a ...[more]

PMID: 23539728

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Project description:BackgroundThe genes and genetic mechanisms underlying the occurrence and progression of papillary thyroid carcinoma (PTC) are still unknown. This study aimed to find candidate genes related to the pathogenesis and progression of PTC.MethodsRNA sequencing (RNA-seq) data of PTC and normal tissues were downloaded from The Cancer Genome Atlas (TCGA) database with clinical stage data to form a test, validation, and clinical-stage data matrix. We used the test data set to analyze differentially expressed genes (DEGs) and weighted gene co-expression network analysis (WGCNA) to find those gene clusters highly correlated with PTC. We then verified the expression of genes in the interested modules using the validation matrix. The quantitative real-time polymerase chain reaction (qRT-PCR) was used to verify the reliability of the expression of selected genes. Five key genes (GDF15, LCN2, KCNN4, SH3BGRL3, and MMP2) were used to analyze the connection between gene expression and the American Joint Committee on Cancer (AJCC) stage. The upregulated and downregulated DEGs, along with the modules of interest, were subjected to Gene Ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment using the Database for Annotation, Visualization, and Integrated Discovery (DAVID).ResultsWe used WGCNA to find two modules of interest, the yellow module, which was positively associated with PTC, and the blue module, which was negatively correlated with PTC. Four genes (GDF15, LCN2, KCNN4, and SH3BGRL3) from the yellow module were determined to be highly expressed in PTC in the test data matrix and were verified in both the validation data matrix and quantitative real-time PCR, which indicated that these four genes were highly correlated with the occurrence of the PTC. Furthermore, these four genes also had a significantly higher expression in the advanced levels of pathological T, N, and AJCC stage, meaning that they were correlated with the progression of PTC. Genes in the yellow module and upregulated DEGs were significantly enriched in three vital signaling pathways, including focal adhesion, extracellular matrix (ECM)-receptor interaction, and the PI3K-Akt signaling pathway.ConclusionsFour candidate genes (GDF15, LCN2, KCNN4, and SH3BGRL3) may be potential biomarkers for the PTC's pathogenesis and may be useful for predicting the disease stage.

Dataset Information

SRGAP1 is a candidate gene for papillary thyroid carcinoma susceptibility.

Background

Objectives

Methods

Results

Conclusions

Publications

SRGAP1 is a candidate gene for papillary thyroid carcinoma susceptibility.

Similar Datasets

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