Molecular alterations in prostate cancer and association with MRI features.

Lee, D; Fontugne, J; Gumpeni, N; Park, K; MacDonald, T Y; Robinson, B D; Sboner, A; Rubin, Mark Andrew; Mosquera, J M; Barbieri, C E (2017). Molecular alterations in prostate cancer and association with MRI features. Prostate cancer and prostatic diseases, 20(4), pp. 430-435. Nature 10.1038/pcan.2017.33

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BACKGROUND

Multiparametric magnetic resonance imaging (mpMRI) has been increasingly used for prostate cancer (PCa). Recent studies identified distinct molecular subclasses of PCa with recurrent genomic alterations. However, the associations between molecular alterations in PCa and characteristics on mpMRI are unknown. Therefore, the objective of this study was to investigate recurrent molecular alterations in PCa and their associations with mpMRI features.

METHODS

Sixty-two PCa nodules >0.5 cm had a preoperative mpMRI. Nodules were evaluated for ERG rearrangement, PTEN deletion, SPINK1 overexpression, SPOP mutation and CHD1 deletion. Each PCa focus was matched to the corresponding location on mpMRI. Lesions were scored by single observer according to the PI-RADSv2 scale.

RESULTS

Of the 62 nodules, 22 (35.5%) were ERG positive, 6 (9.7%) had SPINK1 overexpression, 6 (9.7%) had SPOP mutations, 4 (6.5%) had CHD1 deletions and 1 (1.6%) had PTEN deletion. All of the nodules with CHD1 deletions were not visible on mpMRI (P=0.037). All of the nodules with SPINK1 overexpression were visible on mpMRI, although the association was not statistically significant (P=0.06). There were no significant associations between any molecular alteration with the severity of the PI-RADS scores (all P>0.05).

CONCLUSIONS

This investigation represents the first description of an association between recurrent molecular alterations and the characterization of PCa nodules on mpMRI. This study can be considered hypothesis-generating for future studies to rigorously evaluate the association of specific PCa molecular subclasses with imaging features and potentially define specific subsets of PCa for which the utility of MRI is higher or lower.

Item Type:	Journal Article (Original Article)
Division/Institute:	04 Faculty of Medicine > Pre-clinic Human Medicine > BioMedical Research (DBMR) > DBMR Forschung Mu35 > Forschungsgruppe Präzisionsonkologie 04 Faculty of Medicine > Pre-clinic Human Medicine > BioMedical Research (DBMR) > DBMR Forschung Mu35 > Forschungsgruppe Präzisionsonkologie
UniBE Contributor:	Rubin, Mark Andrew
Subjects:	500 Science 500 Science > 570 Life sciences; biology
ISSN:	1476-5608
Publisher:	Nature
Language:	English
Submitter:	Marla Rittiner
Date Deposited:	12 Feb 2018 09:35
Last Modified:	05 Dec 2022 15:10
Publisher DOI:	10.1038/pcan.2017.33
PubMed ID:	28762374
URI:	https://boris.unibe.ch/id/eprint/110731