Abstract 3960: Rapid and efficient large-scale somatic mutation validation approaches for cancer genome sequencing
| Autor: | Trevor J. Pugh, Wendy Winckler, Ivan Imaz, Gaddy Getz, Stacey Gabriel, Carrie Sougnez, Kristian Cibulskis, Peter S. Hammerman, Andrey Sivachenko |
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| Rok vydání: | 2012 |
| Předmět: | |
| Zdroj: | Cancer Research. 72:3960-3960 |
| ISSN: | 1538-7445 0008-5472 |
| DOI: | 10.1158/1538-7445.am2012-3960 |
| Popis: | The landscape of somatic alterations in cancer is being rapidly uncovered by large-scale cancer genome sequencing projects in individual laboratories as well as consortia such as The Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium (ICGC). The decreasing cost of sequencing has resulted in an increase in the number of cancer genomes that are being sequenced, and thus the numbers of candidate somatic mutations being identified are rapidly expanding. A single cancer genome from a cancer with an average mutation background rate, such as ovarian or breast cancer, will have 3000-6000 mutations. A high mutation rate cancer such as melanoma or colon cancer can have as many as 100,000 mutations/genome. Multiplying these numbers by the dozens of sequenced genomes and hundreds of sequenced exomes across a wide spectrum of tumor types yields a staggering number of candidate mutations. However, approaches for rapidly validating these findings at scale have been lagging behind. Current approaches, such as custom designed hybrid capture arrays followed by sequencing, can take months to complete and cannot begin until the initial sequencing is complete and mutations are called. This can lead to long delays in the interpretation and publication of biological findings. Here we describe the results of several approaches for rapid and efficient validation on large-scale projects, such as TCGA. We will share our approach and results using Fluidigm and PacBio sequencing for validation and sample extension at a small scale with rapid turnaround where we have validated PIK3CA and TP53 mutations in breast cancer samples of varying purity as well as significantly mutated genes in medulloblastoma. Ideally one could validate mutations and gene fusions concurrent with their discovery. To that end, we will also describe our validation results using RNA-Seq data, commonly produced concurrently with genome and exome sequencing, in lung squamous and renal cancer. Finally, we will explore an approach for instant-validation through simultaneous sequencing of barcoded discovery and cross-validation libraries. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 3960. doi:1538-7445.AM2012-3960 |
| Databáze: | OpenAIRE |
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