CancerGenes: a gene selection resource for cancer genome projects

Megan Higgins, M. Claremont, John E. Major, Chris Sander, Alex Lash

Nucleic Acids Research · 2006 · 183 citations · 9 references

DOIFull text

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Concepts

TL;DR

The Human Genome Project provides a framework for mapping genetic variation, and tumor suppressor genes and oncogenes have long been shown to influence cancer risk, development, prognosis, and treatment response. The Cancer Genome Atlas aims to clarify the role of somatic mutations in cancer by resequencing many human genes across numerous tumors and cancer types. CancerGenes aggregates expert‑curated gene lists with public database annotations, offering a web interface that lets users search, sort, intersect, and download detailed gene information. CancerGenes is available at the authors’ webpage.

Abstract

The genome sequence framework provided by the human genome project allows us to precisely map human genetic variations in order to study their association with disease and their direct effects on gene function. Since the description of tumor suppressor genes and oncogenes several decades ago, both germ-line variations and somatic mutations have been established to be important in cancer—in terms of risk, oncogenesis, prognosis and response to therapy. The Cancer Genome Atlas initiative proposed by the NIH is poised to elucidate the contribution of somatic mutations to cancer development and progression through the re-sequencing of a substantial fraction of the total collection of human genes—in hundreds of individual tumors and spanning several tumor types. We have developed the CancerGenes resource to simplify the process of gene selection and prioritization in large collaborative projects. CancerGenes combines gene lists annotated by experts with information from key public databases. Each gene is annotated with gene name(s), functional description, organism, chromosome number, location, Entrez Gene ID, GO terms, InterPro descriptions, gene structure, protein length, transcript count, and experimentally determined transcript control regions, as well as links to Entrez Gene, COSMIC, and iHOP gene pages and the UCSC and Ensembl genome browsers. The user-friendly interface provides for searching, sorting and intersection of gene lists. Users may view tabulated results through a web browser or may dynamically download them as a spreadsheet table. CancerGenes is available at Author Webpage.

References

9