Surgery (RMH) - Research Publications

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    Genetic factors associated with prostate cancer conversion from active surveillance to treatment
    Jiang, Y ; Meyers, TJ ; Emeka, AA ; Cooley, LF ; Cooper, PR ; Lancki, N ; Helenowski, I ; Kachuri, L ; Lin, DW ; Stanford, JL ; Newcomb, LF ; Kolb, S ; Finelli, A ; Fleshner, NE ; Komisarenko, M ; Eastham, JA ; Ehdaie, B ; Benfante, N ; Logothetis, CJ ; Gregg, JR ; Perez, CA ; Garza, S ; Kim, J ; Marks, LS ; Delfin, M ; Barsa, D ; Vesprini, D ; Klotz, LH ; Loblaw, A ; Mamedov, A ; Goldenberg, SL ; Higano, CS ; Spillane, M ; Wu, E ; Carter, HB ; Pavlovich, CP ; Mamawala, M ; Landis, T ; Carroll, PR ; Chan, JM ; Cooperberg, MR ; Cowan, JE ; Morgan, TM ; Siddiqui, J ; Martin, R ; Klein, EA ; Brittain, K ; Gotwald, P ; Barocas, DA ; Dallmer, JR ; Gordetsky, JB ; Steele, P ; Kundu, SD ; Stockdale, J ; Roobol, MJ ; Venderbos, LDF ; Sanda, MG ; Arnold, R ; Patil, D ; Evans, CP ; Dall'Era, MA ; Vij, A ; Costello, AJ ; Chow, K ; Corcoran, NM ; Rais-Bahrami, S ; Phares, C ; Scherr, DS ; Flynn, T ; Karnes, RJ ; Koch, M ; Dhondt, CR ; Nelson, JB ; McBride, D ; Cookson, MS ; Stratton, KL ; Farriester, S ; Hemken, E ; Stadler, WM ; Pera, T ; Banionyte, D ; Bianco, FJ ; Lopez, IH ; Loeb, S ; Taneja, SS ; Byrne, N ; Amling, CL ; Martinez, A ; Boileau, L ; Gaylis, FD ; Petkewicz, J ; Kirwen, N ; Helfand, BT ; Xu, J ; Scholtens, DM ; Catalona, WJ ; Witte, JS (ELSEVIER, 2022-01-13)
    Men diagnosed with low-risk prostate cancer (PC) are increasingly electing active surveillance (AS) as their initial management strategy. While this may reduce the side effects of treatment for prostate cancer, many men on AS eventually convert to active treatment. PC is one of the most heritable cancers, and genetic factors that predispose to aggressive tumors may help distinguish men who are more likely to discontinue AS. To investigate this, we undertook a multi-institutional genome-wide association study (GWAS) of 5,222 PC patients and 1,139 other patients from replication cohorts, all of whom initially elected AS and were followed over time for the potential outcome of conversion from AS to active treatment. In the GWAS we detected 18 variants associated with conversion, 15 of which were not previously associated with PC risk. With a transcriptome-wide association study (TWAS), we found two genes associated with conversion (MAST3, p = 6.9×10-7 and GAB2, p = 2.0×10-6). Moreover, increasing values of a previously validated 269-variant genetic risk score (GRS) for PC was positively associated with conversion (e.g., comparing the highest to the two middle deciles gave a hazard ratio [HR] = 1.13; 95% Confidence Interval [CI]= 0.94-1.36); whereas, decreasing values of a 36-variant GRS for prostate-specific antigen (PSA) levels were positively associated with conversion (e.g., comparing the lowest to the two middle deciles gave a HR = 1.25; 95% CI, 1.04-1.50). These results suggest that germline genetics may help inform and individualize the decision of AS-or the intensity of monitoring on AS-versus treatment for the initial management of patients with low-risk PC.
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    Transcriptome sequencing and multi-plex imaging of prostate cancer microenvironment reveals a dominant role for monocytic cells in progression
    Mangiola, S ; McCoy, P ; Modrak, M ; Souza-Fonseca-Guimaraes, F ; Blashki, D ; Stuchbery, R ; Keam, SP ; Kerger, M ; Chow, K ; Nasa, C ; Le Page, M ; Lister, N ; Monard, S ; Peters, J ; Dundee, P ; Williams, SG ; Costello, AJ ; Neeson, PJ ; Pal, B ; Huntington, ND ; Corcoran, NM ; Papenfuss, AT ; Hovens, CM (BMC, 2021-07-22)
    BACKGROUND: Prostate cancer is caused by genomic aberrations in normal epithelial cells, however clinical translation of findings from analyses of cancer cells alone has been very limited. A deeper understanding of the tumour microenvironment is needed to identify the key drivers of disease progression and reveal novel therapeutic opportunities. RESULTS: In this study, the experimental enrichment of selected cell-types, the development of a Bayesian inference model for continuous differential transcript abundance, and multiplex immunohistochemistry permitted us to define the transcriptional landscape of the prostate cancer microenvironment along the disease progression axis. An important role of monocytes and macrophages in prostate cancer progression and disease recurrence was uncovered, supported by both transcriptional landscape findings and by differential tissue composition analyses. These findings were corroborated and validated by spatial analyses at the single-cell level using multiplex immunohistochemistry. CONCLUSIONS: This study advances our knowledge concerning the role of monocyte-derived recruitment in primary prostate cancer, and supports their key role in disease progression, patient survival and prostate microenvironment immune modulation.
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    Loss of SNAI2 in Prostate Cancer Correlates With Clinical Response to Androgen Deprivation Therapy
    Cmero, M ; Kurganovs, NJ ; Stuchbery, R ; McCoy, P ; Grima, C ; Ngyuen, A ; Chow, K ; Mangiola, S ; Macintyre, G ; Howard, N ; Kerger, M ; Dundee, P ; Ruljancich, P ; Clarke, D ; Grummet, J ; Peters, JS ; Costello, AJ ; Norden, S ; Ryan, A ; Parente, P ; Hovens, CM ; Corcoran, NM (LIPPINCOTT WILLIAMS & WILKINS, 2021-06)
    PURPOSE: Androgen receptor (AR) signaling is important in prostate cancer progression, and therapies that target this pathway have been the mainstay of treatment for advanced disease for over 70 years. Tumors eventually progress despite castration through a number of well-characterized mechanisms; however, little is known about what determines the magnitude of response to short-term pathway inhibition. METHODS: We evaluated a novel combination of AR-targeting therapies (degarelix, abiraterone, and bicalutamide) and noted that the objective patient response to therapy was highly variable. To investigate what was driving treatment resistance in poorly responding patients, as a secondary outcome we comprehensively characterized pre- and post-treatment samples using both whole-genome and RNA sequencing. RESULTS: We find that resistance following short-term treatment differs molecularly from typical progressive castration-resistant disease, associated with transcriptional reprogramming, to a transitional epithelial-to-mesenchymal transition (EMT) phenotype rather than an upregulation of AR signaling. Unexpectedly, tolerance to therapy appears to be the default state, with treatment response correlating with the prevalence of tumor cells deficient for SNAI2, a key regulator of EMT reprogramming. CONCLUSION: We show that EMT characterizes acutely resistant prostate tumors and that deletion of SNAI2, a key transcriptional regulator of EMT, correlates with clinical response.
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    The utility of magnetic resonance imaging in prostate cancer diagnosis in the Australian setting
    Tay, JYI ; Chow, K ; Gavin, DJ ; Mertens, E ; Howard, N ; Thomas, B ; Dundee, P ; Peters, J ; Simkin, P ; Kranz, S ; Finlay, M ; Heinze, S ; Kelly, B ; Costello, A ; Corcoran, N (WILEY, 2021-11)
    OBJECTIVES: To investigate the utility of Magnetic Resonance Imaging (MRI) for prostate cancer diagnosis in the Australian setting. PATIENTS AND METHODS: All consecutive men who underwent a prostate biopsy (transperineal or transrectal) at Royal Melbourne Hospital between July 2017 to June 2019 were included, totalling 332 patients. Data were retrospectively collected from patient records. For each individual patient, the risk of prostate cancer diagnosis at biopsy based on clinical findings was determined using the European Randomized study of Screening for Prostate Cancer (ERSPC) risk calculator, with and without incorporation of MRI findings. RESULTS: MRI has good diagnostic accuracy for clinically significant prostate cancer. A PI-RADS 2 or lower finding has a negative predictive value of 96% for clinically significant cancer, and a PI-RADS 3, 4 or 5 MRI scan has a sensitivity of 93%. However, MRI has a false negative rate of 6.5% overall for clinically significant prostate cancers. Pre- biopsy MRI may reduce the number of unnecessary biopsies, as up to 50.0% of negative or ISUP1 biopsies have MRI PI-RADS 2 or lower. Incorporation of MRI findings into the ERSPC calculator improved predictive performance for all prostate cancer diagnoses (AUC 0.77 vs 0.71, P = .04), but not for clinically significant cancer (AUC 0.89 vs 0.87, P = .37). CONCLUSION: MRI has good sensitivity and negative predictive value for clinically significant prostate cancers. It is useful as a pre-biopsy tool and can be used to significantly reduce the number of unnecessary prostate biopsies. However, MRI does not significantly improve risk predictions for clinically significant cancers when incorporated into the ERSPC risk calculator.
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    Detection of ctDNA in plasma of patients with clinically localised prostate cancer is associated with rapid disease progression
    Lau, E ; McCoy, P ; Reeves, F ; Chow, K ; Clarkson, M ; Kwan, EM ; Packwood, K ; Northen, H ; He, M ; Kingsbury, Z ; Mangiola, S ; Kerger, M ; Furrer, MA ; Crowe, H ; Costello, AJ ; McBride, DJ ; Ross, MT ; Pope, B ; Hovens, CM ; Corcoran, NM (BMC, 2020-08-17)
    BACKGROUND: DNA originating from degenerate tumour cells can be detected in the circulation in many tumour types, where it can be used as a marker of disease burden as well as to monitor treatment response. Although circulating tumour DNA (ctDNA) measurement has prognostic/predictive value in metastatic prostate cancer, its utility in localised disease is unknown. METHODS: We performed whole-genome sequencing of tumour-normal pairs in eight patients with clinically localised disease undergoing prostatectomy, identifying high confidence genomic aberrations. A bespoke DNA capture and amplification panel against the highest prevalence, highest confidence aberrations for each individual was designed and used to interrogate ctDNA isolated from plasma prospectively obtained pre- and post- (24 h and 6 weeks) surgery. In a separate cohort (n = 189), we identified the presence of ctDNA TP53 mutations in preoperative plasma in a retrospective cohort and determined its association with biochemical- and metastasis-free survival. RESULTS: Tumour variants in ctDNA were positively identified pre-treatment in two of eight patients, which in both cases remained detectable postoperatively. Patients with tumour variants in ctDNA had extremely rapid disease recurrence and progression compared to those where variants could not be detected. In terms of aberrations targeted, single nucleotide and structural variants outperformed indels and copy number aberrations. Detection of ctDNA TP53 mutations was associated with a significantly shorter metastasis-free survival (6.2 vs. 9.5 years (HR 2.4; 95% CIs 1.2-4.8, p = 0.014). CONCLUSIONS: CtDNA is uncommonly detected in localised prostate cancer, but its presence portends more rapidly progressive disease.