Data-driven unbiased curation of the TP53 tumor suppressor gene mutation database and validation by ultradeep sequencing of human tumors.

摘要: Cancer mutation databases are expected to play central roles in personalized medicine by providing targets for drug development and biomarkers tailor treatments each patient. The accuracy of reported mutations is a critical issue that commonly overlooked, which leads include sizable number spurious mutations, either sequencing errors or passenger mutations. Here we report an analysis the latest version TP53 database, including 34,453 By using several data-driven methods on multiple independent quality criteria, obtained score contributing database. This can now be used filter high-confidence reports within Sequencing entire gene from various types cancer next-generation with ultradeep coverage validated our approach curation. In summary, 9.7% all collected studies, mostly comprising numerous tumors infrequent should excluded when analyzing Thus, combining statistical experimental analyses, provide curated database framework analysis.