A new study shows that HOXB13 is preferentially recruited to the risk allele of a prostate cancer–associated SNP, enhancing the expression of RFX6, a driver of prostate cancer cell migration and predictor of disease progression. The work illustrates how a single risk locus contributes both to prostate cancer incidence and, through functional follow-up, to disease progression.
This is a preview of subscription content, access via your institution
Relevant articles
Open Access articles citing this article.
-
RFX1: a promising therapeutic arsenal against cancer
Cancer Cell International Open Access 08 May 2021
-
Computational Modeling of complete HOXB13 protein for predicting the functional effect of SNPs and the associated role in hereditary prostate cancer
Scientific Reports Open Access 08 March 2017
-
Identification of proteomic biomarkers predicting prostate cancer aggressiveness and lethality despite biopsy-sampling error
British Journal of Cancer Open Access 17 July 2014
Access options
Subscribe to this journal
Receive 12 print issues and online access
$189.00 per year
only $15.75 per issue
Rent or buy this article
Get just this article for as long as you need it
$39.95
Prices may be subject to local taxes which are calculated during checkout

References
Freedman, M.L. et al. Nat. Genet. 43, 513–518 (2011).
Huang, Q. et al. Nat. Genet. 46, 126–135 (2014).
Jia, L. et al. PLoS Genet. 5, e1000597 (2009).
Feng, J. et al. Cancer Epidemiol. Biomarkers Prev. 20, 2396–2403 (2011).
Lu, Y. et al. Prostate 71, 955–963 (2011).
Ewing, C.M. et al. N. Engl. J. Med. 366, 141–149 (2012).
Norris, J.D. et al. Mol. Cell 36, 405–416 (2009).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Competing interests
The author declares no competing financial interests.
Rights and permissions
About this article
Cite this article
Mills, I. HOXB13, RFX6 and prostate cancer risk. Nat Genet 46, 94–95 (2014). https://doi.org/10.1038/ng.2881
Published:
Issue Date:
DOI: https://doi.org/10.1038/ng.2881
This article is cited by
-
RFX1: a promising therapeutic arsenal against cancer
Cancer Cell International (2021)
-
Sure independence screening in the presence of missing data
Statistical Papers (2021)
-
Computational Modeling of complete HOXB13 protein for predicting the functional effect of SNPs and the associated role in hereditary prostate cancer
Scientific Reports (2017)
-
Identification of proteomic biomarkers predicting prostate cancer aggressiveness and lethality despite biopsy-sampling error
British Journal of Cancer (2014)