Cancer genome landscapes.

Science 2013 Mar;339(6127):1546-58

The Ludwig Center and The Howard Hughes Medical Institute at Johns Hopkins Kimmel Cancer Center, Baltimore, MD 21287, USA.

Over the past decade, comprehensive sequencing efforts have revealed the genomic landscapes of common forms of human cancer. For most cancer types, this landscape consists of a small number of "mountains" (genes altered in a high percentage of tumors) and a much larger number of "hills" (genes altered infrequently). To date, these studies have revealed ~140 genes that, when altered by intragenic mutations, can promote or "drive" tumorigenesis. A typical tumor contains two to eight of these "driver gene" mutations; the remaining mutations are passengers that confer no selective growth advantage. Driver genes can be classified into 12 signaling pathways that regulate three core cellular processes: cell fate, cell survival, and genome maintenance. A better understanding of these pathways is one of the most pressing needs in basic cancer research. Even now, however, our knowledge of cancer genomes is sufficient to guide the development of more effective approaches for reducing cancer morbidity and mortality.

Download full-text PDF

Source
http://dx.doi.org/10.1126/science.1235122DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3749880PMC
March 2013
34 Reads

Publication Analysis

Top Keywords

genes altered
12
cancer
6
pathways pressing
4
"drive" tumorigenesis
4
pressing basic
4
tumorigenesis typical
4
promote "drive"
4
typical tumor
4
gene" mutations
4
"driver gene"
4
tumor "driver
4
understanding pathways
4
mutations promote
4
basic cancer
4
infrequently studies
4
altered infrequently
4
"hills" genes
4
number "hills"
4
studies revealed
4
cancer knowledge
4

References

(Supplied by CrossRef)

Science 2007

Science 2008

Science 2008

Govindan et al.
Cell 2012

Gryfe et al.
Surgery 2001

Nature; Physical Science (London) 2012

Nature genetics

Nowell et al.
Science 1976

Fearon et al.
Cell 1990

Kinzler et al.
Nature; Physical Science (London) 1997

PNAS 2008

Similar Publications