Escala-Garcia, M., Abraham, J., Andrulis, I.L. et al. A network analysis to identify mediators of germline-driven differences in breast cancer prognosis. Nat Commun 11, 312 (2020). https://doi.org/10.1038/s41467-019-14100-6
A network analysis to identify mediators of germline-driven differences in breast cancer prognosis
|Online Access:||PDF Full Text (PDF, 4.2 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2020041516657
|Publish Date:|| 2020-04-15
Identifying the underlying genetic drivers of the heritability of breast cancer prognosis remains elusive. We adapt a network-based approach to handle underpowered complex datasets to provide new insights into the potential function of germline variants in breast cancer prognosis. This network-based analysis studies ~7.3 million variants in 84,457 breast cancer patients in relation to breast cancer survival and confirms the results on 12,381 independent patients. Aggregating the prognostic effects of genetic variants across multiple genes, we identify four gene modules associated with survival in estrogen receptor (ER)-negative and one in ER-positive disease. The modules show biological enrichment for cancer-related processes such as G-alpha signaling, circadian clock, angiogenesis, and Rho-GTPases in apoptosis.
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
The OBCS was supported by research grants from the Finnish Cancer Foundation, the Academy of Finland (grant number 250083, 122715 and Center of Excellence grant number 251314), the Finnish Cancer Foundation, the Sigrid Juselius Foundation, the University of Oulu, the University of Oulu Support Foundation and the special Governmental EVO funds for Oulu University Hospital-based research activities.
|Academy of Finland Grant Number:||
122715 (Academy of Finland Funding decision)
251314 (Academy of Finland Funding decision)
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