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Vega, Francisco M. De La

0000-0002-9015-864X

Mayo Clinic

Thermo Fisher Scientific (Norway)

Citations 1

Abstract 2957: Characterization of oral tumors by massively parallel ligation sequencing
Laborde, Rebecca R., Tuch, Brian B., Olsen, Kerry D., Kasperbauer, Jan L. , Moore, Eric J. , Barker, Melissa, Smith, David I., Vega, Francisco M. De La , Smith, David I.

Cancer Research | February 25, 2011 | Volume: 70 | Issue: 8_Supplement | Pages: 2957-2957

10.1158/1538-7445.am10-2957 Get It

Abstract Cancers of the head and neck rank as the 6th most commonly observed cancers worldwide with an average 5-year survival rate of only 50% for advanced disease. Nearly 95% of head and neck cancers are squamous cell carcinomas (SSC) and these are frequently highly invasive metastatic tumors. The newly developing technologies of Next Generation Sequencing have allowed for the most comprehensive genetic analysis of these cancers to date. We have taken 3 tumor/normal pairs from patients with oral squamous cell carcinoma and performed full transcriptome and mate-pair DNA sequencing analysis using the AB SOLiD system. These runs generated 129-256 million 50bp long sequence reads per sample, with 21 to 56 million reads per sample uniquely aligning to human genome sequence. Analysis of these samples has revealed pathways with aberrant expression in tumor versus normal tissue. Our results show up-regulation of some metalloproteinase genes, HGMA2, which is a prognostic marker for oral carcinoma, and extracellular matrix, adhesion, and motility gene classes in tumors. Our functional analysis also indicates extensive down-regulation, in the tumors, of genes functioning in epidermal development. We were also able to measure allelic specific expression for the 50% most highly expressed genes and detect examples of allelic imbalance linked to pathways with dysregulated gene expression. Additionally, the depth of sequencing that was achieved (5-16X coverage of RefSeq Exons) also allowed us to detect mutations occurring in the transcripts. We have also detected evidence of RNA editing associated with point mutations, which we are validating in a larger group of samples. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 2957.