Michael A. S. Jewett

Michael A. S. Jewett

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

The organizations/institutes from the scholar's latest article

Previous Organizations / Institutes

The organizations / institutes from the scholar's other articles in the past ten years


Michael A. S. Jewett has a total of 221 co-authors. Here are the top co-authors by number of shared publications:

  • Antonio Finelli

    Division of Urology, Departments of Surgery and Surgical Oncology, Princess Margaret Cancer Centre, University Health Network and University of Toronto, 610 University Avenue, 3-130, Toronto, ON, M5G 2M9, Canada

    8 shared publications
  • John Trachtenberg

    Division of Urology, Department of Surgical Oncology, University Health Network, University of Toronto, Toronto, Ontario, Canada.

    5 shared publications
  • Padraig Warde

    Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada

    5 shared publications
  • Peter Chung

    Radiation Medicine Program, Princess Margaret Cancer Centre, University of Toronto, 610 University Ave, Toronto, ON M5G 2M9, Canada

    5 shared publications
  • Alexandre R. Zlotta

    Princess Margaret Cancer Centre, Toronto, ON, Canada

    4 shared publications
  • Andrew Evans

    Department of Pathology, Princess Margaret Cancer Centre, University Health Network, and the University of Toronto, Toronto, Ontario, Canada

    4 shared publications

Latest Publications

  • Patient-centered care can be improved by joint meetings between cancer patient group leaders and health care providers

    by Jaime O. Herrera-Caceres, Rand Ajaj, Ricardo Leão, Serena Barello, Francisco Rodriguez-Covarrubias, Stenio C. Zequi, Deborah Maskens, Rachel H. Giles, Luke T. Lavallée, Michael A.S. Jewett


  • Renal tumor biopsy: indicators, technique, safety, accuracy results, and impact on treatment decision management

    by Jaime O. Herrera-Caceres, Antonio Finelli, Michael A. S. Jewett

    Renal tumor biopsy (RTB), as distinct from the more common renal biopsy for medical renal disease, is an option for patients with renal masses. It is mainly used for small renal masses (SRM) but it may also be indicated for larger masses and even in the presence of metastatic disease. Its main indication in SRM is to avoid intervention for benign kidney tumors but increasingly enables more personalized treatment for kidney cancer patients.


  • A phase III randomized study comparing perioperative nivolumab vs. observation in patients with localized renal cell carcinoma undergoing nephrectomy (PROSPER RCC).

    by Lauren Christine Harshman, Maneka Puligandla, Naomi B. Haas, Mohamad Allaf, Charles G. Drake, David F. McDermott, Sabina Signoretti, David Cella, Rajan T Gupta, Rupal Satish Bhatt, et al.

    TPS4596 Background: The anti-PD-1 antibody nivolumab (nivo) improves overall survival (OS) in metastatic treatment refractory RCC and is generally tolerable. In 2017, there is no standard adjuvant therapy proven to increase OS over surgery alone in non-metastatic (M0) disease. Mouse solid tumor models have revealed an OS benefit with a short course of neoadjuvant PD-1 blockade compared to adjuvant therapy. Two ongoing phase 2 studies of perioperative nivo in RCC patients (pts) have shown preliminary feasibility and safety with no surgical delays or complications. The PROSPER RCC trial will examine if the addition of perioperative nivo to radical or partial nephrectomy can improve clinical outcomes in pts with locally advanced RCC. With the goal of increasing cure and recurrence-free survival (RFS) rates in M0 RCC, we propose a three-pronged, multidisciplinary approach of presurgical priming with nivo followed by resection and adjuvant PD-1 blockade. Methods: Tumorbiopsy prior to randomization is mandatory to ensure the correct diagnosis and will permit unparalleled correlative science in this global, randomized, unblinded, phase 3 National Clinical Trials Network study. 766 pts with clinical stage ≥T2 or any node positive M0 RCC of any histology will be enrolled. The study arm will receive nivo 240mg IV for 2 doses prior to surgery followed by nivo adjuvantly for 9 months (q2 wks x 3 mo followed by q4 wks x 6 mo). The control arm will undergo the current standard of care: surgical resection followed by observation. Pts are stratified by clinical T stage, node positivity, and histology. There is 84.2% power to detect a 14.4% absolute increase in the primary endpoint of RFS from the ASSURE historical control of 55.8% to 70.2% at 5 yrs (HR 0.70). The study is also powered to detect a significant OS benefit (HR 0.67). Key safety, feasibility, and quality of life endpoints are incorporated. PROSPER RCC exemplifies team science with a host of planned correlative work to investigate the significance of the baseline immune milieu and changes after neoadjuvant priming and to identify predictive gene expression patterns. Additional collaborations are welcomed.


  • A propensity score analysis of radical cystectomy versus bladder-sparing trimodal therapy in the setting of a multidisciplinary bladder cancer clinic.

    by Girish S. Kulkarni, Thomas Hermanns, Yanliang Wei, Bimal Bhindi, Raj Satkunasivam, Peter Bostrom, Cynthia Kuk, Kathy Li, Annette Erlich, Arnoud J. Templeton, et al.

    E16003 Background: Multidisciplinary management improves complex treatment decision making in cancer care, but its impact for bladder cancer (BC) has not been documented. While radical cystectomy (RC) is currently viewed as the standard of care for muscle-invasive bladder cancer (MIBC), radiotherapy-based, bladder-sparing trimodal therapy (TMT) combining transurethral resection of bladder tumor, chemotherapy for radiation sensitization and external beam radiotherapy has emerged as a valid treatment option. In the absence of randomized studies, we compared the oncological outcomes between patients managed by RC or TMT using a propensity-score matched cohort analysis. Methods: Patients seen in our multidisciplinary bladder cancer clinic (MDBCC) from 2008 to 2013 were retrospectively reviewed. Those who received TMT for MIBC were identified and matched (for gender, cT and cN stage, ECOG status, Charlson comorbidity score, treatment date, age, CIS, hydronephrosis) using propensity scores, to patients who underwent RC. Overall survival and disease-specific survival (DSS) were assessed with Cox Proportional hazards modeling and competing risk analysis, respectively. Results: 112 patients with MIBC were included after matching, 56 treated with TMT and 56 by RC. Median age was 68.0 years and 29.5% were cT3/cT4. At a median follow up of 4.51 years, there were 20 (35.7%) deaths (13 from BC) in the RC group and 22 (39.3%) deaths (13 from BC) in the TMT group. 5 year DSS was 73.2% and 76.6%, in the RC and TMT groups, respectively (p = 0.49). Salvage cystectomy was performed in 6/56 TMT patients (10.7%). Conclusions: In the setting of a MDBCC, TMT yielded survival outcomes similar to matched RC patients. Appropriately selected MIBC patients should be offered the opportunity to discuss various treatment options including organ-sparing TMT.

  • Natural History and Active Surveillance

    by Jaimin R. Bhatt, Patrick O. Richard, Michael A. S. Jewett


  • Surveillance of Small Renal Masses

    by Ardalan E. Ahmad, Antonio Finelli, Michael A.S. Jewett


  • Natural History of Renal Angiomyolipoma (AML): Most Patients with Large AMLs >4 cm Can Be Offered Active Surveillance as an Initial Management Strategy

    by Jaimin R. Bhatt, Patrick O. Richard, Nicole S. Kim, Antonio Finelli, Karthikeyan Manickavachagam, Laura Legere, Andrew Evans, York Pei, Jenna Sykes, Kartik Jhaveri, et al.


  • Gene-expression signatures as prognostic for relapse in stage I testicular germ cell tumors (TGCT).

    by Jeremy Howard Lewin, Philippe L. Bedard, Robert James Hamilton, Peter W. M. Chung, Malcolm J. Moore, Michael A.S. Jewett, Lynn Anson-Cartwright, Carl Virtanen, Neil Winegarden, Benjamin Haibe-Kains, et al.

    493 Background: Genomic signatures may compliment pathological features in identifying appropriate patients who may benefit from adjuvant therapy in Stage I (SI) TGCT. This study aimed to identify a gene expression pattern to differentiate between relapsed (R) and non-relapsed (NR) SI TGCT. Methods: Patients with SI non-seminoma (NS) and seminoma (S) were identified from an institutional database from 2000 to 2012. All patients were managed with active surveillance. NR-NS and NR-S patients were defined as having no evidence of relapse after 2 and 3 years of surveillance respectively. Following pathology review, RNA extraction and gene expression analysis was performed on archived paraffin embedded tumor and normal testicular tissue using Illumina Whole Genome DASL Human HT-12 V4 BeadChip. Hierarchical clustering analysis, ANOVA and t-tests were used to evaluate candidate genes and expression patterns that could differentiate NR and R samples. Results: 57 patients (12 R-NS, 15 R-S, 15 NR-NS, 15 NR-S) were identified with median relapse time of 5.6 (2.5-18.1) and 19.3 (4.7-65.3) months in NS and S cohorts respectively. 3 additional normal testis samples were included. Poor prognostic factors were more frequent in R versus NR cases (NS: vascular invasion [5/12 vs 0/15]; S: median size [4cm vs 2.8cm]). Unsupervised hierarchical clustering of 22822 probes randomly separated S from NS, indicating no batch effect. One-way ANOVA revealed 4525 significantly varying probes (p < 0.05) however, no statistically significant gene expression profile differentiated the 4 cohorts. A discriminative gene expression profile between R and NR cases was discovered when combining NS and S samples using 10 (p = 0.03) and 30 (p = 0.03) probe signatures with a 10 fold cross-validation. However, this profile was not observed in the S and NS cohorts individually. Conclusions: A discriminating signature for R and NR was identified for SI testis tumors, but not separately for NS and S. Biological relevance of these signatures is to be determined. Further studies are required to corroborate this profile in NS and S. If validated, these expression patterns could help identify patients beyond standard pathological risk algorithms for optimal management.

  • Optimization of an imaging protocol for stage I seminoma surveillance based on variations in relapse location over time.

    by Andrew McPartlin, Ali Hosni, Philippe L. Bedard, Aaron Richard Hansen, Michael A.S. Jewett, Robert James Hamilton, Martin O'Malley, Joan Sweet, Padraig Richard Warde, Peter W. M. Chung

    475 Background: Surveillance is recommended for patients with stage I seminoma post orchidectomy but CT imaging involves ionising radiation, with risk of associated secondary malignancies. We assessed site of disease relapse during surveillance to guide development of a risk adapted imaging protocol. Methods: Data was obtained from a prospectively maintained database of patients with stage I seminoma on surveillance after orchidectomy from 1981-2011. Relapse was determined by clinical and/or radiographic finding with or without pathological confirmation or tumour marker elevation. Results: 753 patients were identified. The median age at orchidectomy was 33.7 years. With a median follow up of 10.5 years, range 1.1-30.1, 115 (15.3%) patients relapsed. Relapse was detected radiologically in 114 (99.1%), with 9 (7.8%) having simultaneously elevated tumour markers. A clinical diagnosis of relapse was made in 1 case (inguinal node – 0.9%). The location and time to relapse are shown in table. Conclusions: In stage I seminoma surveillance, pelvic nodal relapse was restricted to the early period of follow up. Excluding the pelvis during CT imaging after the third year of surveillance may optimise the detection of relapse whilst minimising total radiation exposure. This has now been adopted at our centre since 2011 without any subsequent late pelvic relapses. [Table: see text]