TumorTracer: a method to identify the tissue of origin from the somatic mutations of a tumor specimen
More about Open Access at the CrickAuthors list
Andrea Marion Marquard Nicolai Birkbak Cecilia Engel Thomas Francesco Favero Marcin Krzystanek Celine Lefebvre Charles Ferté Mariam Jamal-Hanjani Gareth A Wilson Seema Shafi Charles Swanton Fabrice André Zoltan Szallasi Aron Charles EklundAbstract
A substantial proportion of cancer cases present with a metastatic tumor and require further testing to determine the primary site; many of these are never fully diagnosed and remain cancer of unknown primary origin (CUP). It has been previously demonstrated that the somatic point mutations detected in a tumor can be used to identify its site of origin with limited accuracy. We hypothesized that higher accuracy could be achieved by a classification algorithm based on the following feature sets: 1) the number of nonsynonymous point mutations in a set of 232 specific cancer-associated genes, 2) frequencies of the 96 classes of single-nucleotide substitution determined by the flanking bases, and 3) copy number profiles, if available.
Full text links
Publisher website (DOI) 10.1186/s12920-015-0130-0
Figshare View on figshare
Europe PubMed Central 26429708
Pubmed 26429708