3D clusters of somatic mutations in cancer reveal numerous rare mutations as functional targets Journal Article


Authors: Gao, J.; Chang, M. T.; Johnsen, H. C.; Gao, S. P.; Sylvester, B. E.; Sumer, S. O.; Zhang, H.; Solit, D. B.; Taylor, B. S.; Schultz, N.; Sander, C.
Article Title: 3D clusters of somatic mutations in cancer reveal numerous rare mutations as functional targets
Abstract: Many mutations in cancer are of unknown functional significance. Standard methods use statistically significant recurrence of mutations in tumor samples as an indicator of functional impact. We extend such analyses into the long tail of rare mutations by considering recurrence of mutations in clusters of spatially close residues in protein structures. Analyzing 10,000 tumor exomes, we identify more than 3000 rarely mutated residues in proteins as potentially functional and experimentally validate several in RAC1 and MAP2K1. These potential driver mutations (web resources: 3dhotspots.org and cBioPortal.org) can extend the scope of genomically informed clinical trials and of personalized choice of therapy. © 2017 The Author(s).
Keywords: cancer genomics; protein structures; driver mutations; precision medicine
Journal Title: Genome Medicine
Volume: 9
ISSN: 1756-994X
Publisher: Biomed Central Ltd  
Date Published: 2017-01-23
Start Page: 4
Language: English
DOI: 10.1186/s13073-016-0393-x
PROVIDER: scopus
PMCID: PMC5260099
PUBMED: 28115009
DOI/URL:
Notes: Article -- Export Date: 2 March 2017 -- Source: Scopus
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MSK Authors
  1. David Solit
    778 Solit
  2. Chris Sander
    210 Sander
  3. Sizhi Gao
    47 Gao
  4. Jianjiong Gao
    132 Gao
  5. Barry Stephen Taylor
    238 Taylor
  6. Nikolaus D Schultz
    486 Schultz
  7. Selcuk Onur Sumer
    33 Sumer
  8. Matthew   Chang
    29 Chang
  9. Hannah Christina Wise
    12 Johnsen
  10. Hongxin Zhang
    47 Zhang