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Identification of inherited susceptibility genes for squamous cell carcinoma of base of tongue by large scale genotyping

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Author(s):
Gustavo Jacob Lourenço
Total Authors: 1
Document type: Doctoral Thesis
Press: Campinas, SP.
Institution: Universidade Estadual de Campinas (UNICAMP). Faculdade de Ciências Médicas
Defense date:
Examining board members:
Carmen Silvia Passos Lima; Luiz Paulo Kowalski; Marilda de Souza Gonçalves; Carmen Sílvia Bertuzzo; Mônica Barbosa de Melo
Advisor: Carmen Silvia Passos Lima; Fernando Ferreira Costa
Abstract

Inherited genetic alterations, such as single nucleotide polymorphisms (SNPs) and copy number variations (CNVs), were described in association with base of tongue (BT) squamous cell carcinoma (SCC) risk in only few reports. BTSCC are tumours with high morbidity and mortality rates; however, the association of SNPs and CNVs and BTSCC risk is still not clarified and, therefore, this was the aim of the present study. DNA was extracted of the peripheral blood samples of 49 BTSCC patients and 49 controls. Each sample was genotyped using DNA high-resolution microarrays containing 500.568 SNPs and 420.000 CNVs (Affymetrix®). Further sample processing, including digestion, adaptor ligation, amplification, fragmentation, labelling, hybridization, washing and scanning was assayed according to the standard protocol. Genotype data were acquired by genotyping calling of samples using the crlmm algorithm provided by Bioconductor software, as per the recommended guidelines. For SNPs, the differences between groups were analysed by the logistic regression model. For CNVs, the patients' and controls' data files were imported into the Partek® Genomic Suite. Common aberration analysis was performed on all samples to identify genomic intervals that had statistically significant aberrations. Significantly different regions were determined using the segmentation algorithm. For SNPs, we observed 6.609 SNPs with distinct frequencies between BTSCC patients and controls (P< 0.01). Fifty two SNPs (0.8%) were located in coding sequence of amino acids, 51 (0.8%) in 3' and 5' untranslated regions, 3.461 (52.4%) in up or downstream regions and 3.045 (46.0%) in introns. The SNPs were clustered to their main function, evidencing those localized in genes related to cell cycle and apoptosis (ERP29, MCC and PTCH1), transcriptional process (IKBKAP and ZNF415) and cell adhesion and metastasis (COL22A1, LEF1 and LY6K). We also identified a consistent number of altered regions including duplicated genes, such as involved in cell proliferation and angiogenesis (ADAM3A, ADAM5P and DDT), apoptosis (FAM90A), defensins proteins (DEFB) and metabolism of carcinogens (GSTs); and deleted genes, such as in olfactory receptors (ORs) and apoptosis (BCL2). Our preliminary results suggest that SNPs and CNVs in genes involved in tumour origin and progression may predispose individuals to BTSCC. However, these results should be confirmed by functional studies of coded proteins and validated by genotyping in larger epidemiological studies (AU)