Basic Science: Oncology

Moderated Poster Session

MP1-1 - Multiparametric MRI Features Identify Aggressive Prostate Cancer at the Phenotypic and Transcriptomic Level

Thursday, September 20
4:00 PM - 6:00 PM
Location: Room 241

Introduction & Objective :

Multiparametric magnetic resonance imaging (mpMRI) is a diagnostic tool for prostate cancer with limited data on prognostic use. We sought to determine whether mpMRI can predict aggressive prostate cancer features.


Methods : We performed a retrospective analysis of 206 patients who underwent radical prostatectomy between 2013 and 2017. All patients had available RNA expression data from the final pathology specimen, obtained from a location corresponding to a lesion location on mpMRI. The association between Prostate Imaging Reporting and Data System (PI-RADS) score and adverse pathology features  were analyzed. We also performed a differential transcriptomic analysis between PI-RADS groups. Factors associated with adverse pathology were analyzed using a multivariable logistic regression model.


Results : Lesion size (p = 0.03), PI-RADS score (p = 0.02), and extraprostatic extension (p = 0.01) associated significantly with the Decipher score. Multivariable analysis showed that PI-RADS score (Ref: PI-RADS 3; odds ratio [OR]: 8.1; 95% confidence interval [CI]: 1.2–57.5, p = 0.04), Gleason group (Ref: Gleason 3; OR: 5.6; 95% CI: 1.5–21.1; p = 0.01) and prostate-specific antigen (OR:1.103; 95% CI: 1.011–1.203) were risk factors for adverse pathology. Although the difference between PI-RADS 4 and 5 did not reach significance (OR: 1.9, 95% CI: 0.8–4.5; p = 0.12), the PI3K-AKT-mTOR, WNT-beta, and E2F signaling pathways were more active in PI-RADS 5 compared with PI-RADS 4.


Conclusions : PI-RADS score is associated with adverse pathology, increased metastatic risk, and differential genomic pathway activation.  

Alp Tuna Beksac

Fellow
Icahn School of Medicine at Mount Sinai

Endourological Society Fellow in Minimally Invasive and Robotic Surgery at Icahn School of Medicine at Mount Sinai.

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    Shivaram Cumarasamy

    Icahn School of Medicine at Mount Sinai

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      Ugo Falagario

      University of Foggia

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        Paige Xu

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          Mandeep Takhar

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            Mohamed Alshalalfa

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              Akriti Gupta

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                Sonya Prasad

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                  Alberto Martini

                  Fellow
                  Icahn School of Medicine at Mount Sinai

                  Alberto Martini, MD, Department of Urology, Icahn Schoolf of Medicine at Mount Sinai, NY, USA

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                    Stephanie Hectors

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                      Jennifer Jordan

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                        Elai Davicioni

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                          Sujit Nair

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                            Kenneth Haines

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                              Sara C. Lewis

                              Assistant Professor of Radiology
                              Icahn School of Medicine at Mount Sinai

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                                Art Rastinehad

                                The Icahn School of Medicine at Mount Sinai, Department of Urology

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                                  Kamlesh Yadav

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                                    Isuru Jayaratna

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                                      Bachir Taouli

                                      Professor of Radiology
                                      Icahn School of Medicine at Mount Sinai

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                                        Ashutosh K. Tewari

                                        Icahn School of Medicine at Mount Sinai

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