Decoding the DNA of patients with advanced breast cancer has allowed scientists to identify distinct cancer "signatures" that could help predict which women are most likely to benefit from estrogen-lowering therapy.
Nature. 2012 Jun 10;486(7403):353-60. doi: 10.1038/nature11143.
To correlate the variable clinical features of oestrogen-receptor-positive breast cancer with somatic alterations, we studied pretreatment tumour biopsies accrued from patients in two studies of neoadjuvant aromatase inhibitor therapy by massively parallel sequencing and analysis. Eighteen significantly mutated genes were identified, including five genes (RUNX1, CBFB, MYH9, MLL3 and SF3B1) previously linked to haematopoietic disorders. Mutant MAP3K1 was associated with luminal A status, low-grade histology and low proliferation rates, whereas mutant TP53 was associated with the opposite pattern. Moreover, mutant GATA3 correlated with suppression of proliferation upon aromatase inhibitor treatment. Pathway analysis demonstrated that mutations in MAP2K4, a MAP3K1 substrate, produced similar perturbations as MAP3K1 loss. Distinct phenotypes in oestrogen-receptor-positive breast cancer are associated with specific patterns of somatic mutations that map into cellular pathways linked to tumour biology, but most recurrent mutations are relatively infrequent. Prospective clinical trials based on these findings will require comprehensive genome sequencing.
Following are supplementary tables related to the manuscript titled "Whole-genome analysis informs breast cancer response to aromatase inhibition." 10 June 2012, Nature.
The documents are available in Excel format.
Last update: 24 July 2012
Li Ding, Ph.D., Dong Shen, Ph.D., John Wallis, Ph.D., Ling Lin, Dan Koboldt, Cyriac Kandoth, Ph.D., Joshua McMichael, Chris Miller, Ph.D., Charles Lu, Ph.D., Chris Harris, Mike McLellan, Michael Wendl, Ph.D., Christopher Maher, Ph.D., Lucinda Fulton, Robert Fulton, Michelle O'Laughlin, Ben Oberkfell, Feiyu Du, Ryan Demeter, Tammi Vickery, Aaron Maule, Timothy Ley, M.D., Richard K. Wilson, Ph.D., Elaine R. Mardis, Ph.D.