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Association Study of 69 Genes in the Ret Pathway Identifies Low-penetrance Loci in Sporadic Medullary Thyroid Carcinoma

¹ Hereditary Endocrine Cancer Group, ² Genotyping Unit (CeGen, Madrid Node), ³ Human Genetics Group, Human Genetics Cancer Programme, and ⁴ Familial Cancer Unit, Centro Nacional de Investigaciones Oncológicas; ⁵ Molecular Endocrinology Department, Biomedical Research Institute, CSIC, UAM; ⁶ Endocrinology Service, Hospital La Paz; ⁷ Endocrinology Service, Hospital Clínico San Carlos, Madrid, Spain; ⁸ Department of Oncology, University of Cambridge, Strangeways Research Laboratories, Cambridge, United Kingdom; ⁹ Unidad de Genética Médica y Diagnóstico Prenatal, Hospital Universitario Virgen del Rocío, Sevilla, Spain; ¹⁰ Endocrinology and Diabetes Research Group, Hospital de Cruces, Vizcaya, Spain; ¹¹ Unidade de Xenetica, Instituto de Medicina Legal, Facultad de Medicina, Universidad de Santiago de Compostela, Galicia, Spain; and ¹² ISCIII Center for Biomedical Research on Rare Diseases, and ¹³ Department of Bioinformatics, Centro de Investigación Príncipe Felipe, Valencia, Spain

Requests for reprints: Mercedes Robledo, Hereditary Endocrine Cancer Group, Human Cancer Genetics Programme, Centro Nacional de Investigaciones Oncológicas, Calle Melchor Fernández Almagro, 28029 Madrid, Spain. Phone: 34-912246948; Fax: 34-912246923; E-mail: mrobledo{at}cnio.es.

To date, few association studies have been done to better understand the genetic basis for the development of sporadic medullary thyroid carcinoma (sMTC). To identify additional low-penetrance genes, we have done a two-stage case-control study in two European populations using high-throughput genotyping. We selected 417 single nucleotide polymorphisms (SNP) belonging to 69 genes either related to RET signaling pathway/functions or involved in key processes for cancer development. TagSNPs and functional variants were included where possible. These SNPs were initially studied in the largest known series of sMTC cases (n = 266) and controls (n = 422), all of Spanish origin. In stage II, an independent British series of 155 sMTC patients and 531 controls was included to validate the previous results. Associations were assessed by an exhaustive analysis of individual SNPs but also considering gene- and linkage disequilibrium–based haplotypes. This strategy allowed us to identify seven low-penetrance genes, six of them (STAT1, AURKA, BCL2, CDKN2B, CDK6, and COMT) consistently associated with sMTC risk in the two case-control series and a seventh (HRAS) with individual SNPs and haplotypes associated with sMTC in the Spanish data set. The potential role of CDKN2B was confirmed by a functional assay showing a role of a SNP (rs7044859) in the promoter region in altering the binding of the transcription factor HNF1. These results highlight the utility of association studies using homogeneous series of cases for better understanding complex diseases. [Cancer Res 2007;67(19):9561–7]