605 results on '"Daniel E Spratt"'
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2. Future trends in incidence and long-term survival of metastatic cancer in the United States
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Nicholas L. Hudock, Kyle Mani, Chachrit Khunsriraksakul, Vonn Walter, Larissa Nekhlyudov, Ming Wang, Eric J. Lehrer, Maria R. Hudock, Dajiang J. Liu, Daniel E. Spratt, and Nicholas G. Zaorsky
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Medicine - Abstract
Background Previous studies have demonstrated epidemiological trends in individual metastatic cancer subtypes; however, research forecasting long-term incidence trends and projected survivorship of metastatic cancers is lacking. We assess the burden of metastatic cancer to 2040 by (1) characterizing past, current, and forecasted incidence trends, and (2) estimating odds of long-term (5-year) survivorship. Methods This retrospective, serial cross-sectional, population-based study used registry data from the Surveillance, Epidemiology, and End Results (SEER 9) database. Average annual percentage change (AAPC) was calculated to describe cancer incidence trends from 1988 to 2018. Autoregressive integrating moving average (ARIMA) models were used to forecast the distribution of primary metastatic cancer and metastatic cancer to specific sites from 2019 to 2040 and JoinPoint models were fitted to estimate mean projected annual percentage change (APC). Results The average annual percent change (AAPC) in incidence of metastatic cancer decreased by 0.80 per 100,000 individuals (1988–2018) and we forecast an APC decrease by 0.70 per 100,000 individuals (2018–2040). Analyses predict a decrease in metastases to liver (APC = −3.40, 95% CI [−3.50, −3.30]), lung (APC (2019–2030) = −1.90, 95% CI [−2.90, −1.00]); (2030–2040) = −3.70, 95% CI [−4.60, −2.80]), bone (APC = −4.00, 95% CI [−4.30, −3.70]), and brain (APC = −2.30, 95% CI [−2.60, −2.00]). By 2040, patients with metastatic cancer are predicted to have 46.7% greater odds of long-term survivorship, driven by increasing plurality of patients with more indolent forms of metastatic disease. Conclusions By 2040, the distribution of metastatic cancer patients is predicted to shift in predominance from invariably fatal to indolent cancers subtypes. Continued research on metastatic cancers is important to guide health policy and clinical intervention efforts, and direct allocations of healthcare resources.
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- 2023
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3. Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials
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Andre Esteva, Jean Feng, Douwe van der Wal, Shih-Cheng Huang, Jeffry P. Simko, Sandy DeVries, Emmalyn Chen, Edward M. Schaeffer, Todd M. Morgan, Yilun Sun, Amirata Ghorbani, Nikhil Naik, Dhruv Nathawani, Richard Socher, Jeff M. Michalski, Mack Roach, Thomas M. Pisansky, Jedidiah M. Monson, Farah Naz, James Wallace, Michelle J. Ferguson, Jean-Paul Bahary, James Zou, Matthew Lungren, Serena Yeung, Ashley E. Ross, NRG Prostate Cancer AI Consortium, Howard M. Sandler, Phuoc T. Tran, Daniel E. Spratt, Stephanie Pugh, Felix Y. Feng, and Osama Mohamad
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Computer applications to medicine. Medical informatics ,R858-859.7 - Abstract
Abstract Prostate cancer is the most frequent cancer in men and a leading cause of cancer death. Determining a patient’s optimal therapy is a challenge, where oncologists must select a therapy with the highest likelihood of success and the lowest likelihood of toxicity. International standards for prognostication rely on non-specific and semi-quantitative tools, commonly leading to over- and under-treatment. Tissue-based molecular biomarkers have attempted to address this, but most have limited validation in prospective randomized trials and expensive processing costs, posing substantial barriers to widespread adoption. There remains a significant need for accurate and scalable tools to support therapy personalization. Here we demonstrate prostate cancer therapy personalization by predicting long-term, clinically relevant outcomes using a multimodal deep learning architecture and train models using clinical data and digital histopathology from prostate biopsies. We train and validate models using five phase III randomized trials conducted across hundreds of clinical centers. Histopathological data was available for 5654 of 7764 randomized patients (71%) with a median follow-up of 11.4 years. Compared to the most common risk-stratification tool—risk groups developed by the National Cancer Center Network (NCCN)—our models have superior discriminatory performance across all endpoints, ranging from 9.2% to 14.6% relative improvement in a held-out validation set. This artificial intelligence-based tool improves prognostication over standard tools and allows oncologists to computationally predict the likeliest outcomes of specific patients to determine optimal treatment. Outfitted with digital scanners and internet access, any clinic could offer such capabilities, enabling global access to therapy personalization.
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- 2022
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4. MYC drives aggressive prostate cancer by disrupting transcriptional pause release at androgen receptor targets
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Xintao Qiu, Nadia Boufaied, Tarek Hallal, Avery Feit, Anna de Polo, Adrienne M. Luoma, Walaa Alahmadi, Janie Larocque, Giorgia Zadra, Yingtian Xie, Shengqing Gu, Qin Tang, Yi Zhang, Sudeepa Syamala, Ji-Heui Seo, Connor Bell, Edward O’Connor, Yang Liu, Edward M. Schaeffer, R. Jeffrey Karnes, Sheila Weinmann, Elai Davicioni, Colm Morrissey, Paloma Cejas, Leigh Ellis, Massimo Loda, Kai W. Wucherpfennig, Mark M. Pomerantz, Daniel E. Spratt, Eva Corey, Matthew L. Freedman, X. Shirley Liu, Myles Brown, Henry W. Long, and David P. Labbé
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Science - Abstract
The role of MYC in transcriptional reprogramming in prostate cancer remains poorly characterized. Here, MYC overexpression antagonizes the canonical AR transcriptional program leading to prostate tumor initiation and progression by disrupting transcriptional pause release at AR-regulated genes.
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- 2022
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5. Leveraging artificial intelligence to predict ERG gene fusion status in prostate cancer
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Vipulkumar Dadhania, Daniel Gonzalez, Mustafa Yousif, Jerome Cheng, Todd M. Morgan, Daniel E. Spratt, Zachery R. Reichert, Rahul Mannan, Xiaoming Wang, Anya Chinnaiyan, Xuhong Cao, Saravana M. Dhanasekaran, Arul M. Chinnaiyan, Liron Pantanowitz, and Rohit Mehra
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Prostate cancer ,ERG ,Deep learning ,Artificial intelligence ,Gene fusion ,Adenocarcinoma ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Abstract Background TMPRSS2-ERG gene rearrangement, the most common E26 transformation specific (ETS) gene fusion within prostate cancer, is known to contribute to the pathogenesis of this disease and carries diagnostic annotations for prostate cancer patients clinically. The ERG rearrangement status in prostatic adenocarcinoma currently cannot be reliably identified from histologic features on H&E-stained slides alone and hence requires ancillary studies such as immunohistochemistry (IHC), fluorescent in situ hybridization (FISH) or next generation sequencing (NGS) for identification. Methods Objective We accordingly sought to develop a deep learning-based algorithm to identify ERG rearrangement status in prostatic adenocarcinoma based on digitized slides of H&E morphology alone. Design Setting, and Participants: Whole slide images from 392 in-house and TCGA cases were employed and annotated using QuPath. Image patches of 224 × 224 pixel were exported at 10 ×, 20 ×, and 40 × for input into a deep learning model based on MobileNetV2 convolutional neural network architecture pre-trained on ImageNet. A separate model was trained for each magnification. Training and test datasets consisted of 261 cases and 131 cases, respectively. The output of the model included a prediction of ERG-positive (ERG rearranged) or ERG-negative (ERG not rearranged) status for each input patch. Outcome measurements and statistical analysis: Various accuracy measurements including area under the curve (AUC) of the receiver operating characteristic (ROC) curves were used to evaluate the deep learning model. Results and Limitations All models showed similar ROC curves with AUC results ranging between 0.82 and 0.85. The sensitivity and specificity of these models were 75.0% and 83.1% (20 × model), respectively. Conclusions A deep learning-based model can successfully predict ERG rearrangement status in the majority of prostatic adenocarcinomas utilizing only H&E-stained digital slides. Such an artificial intelligence-based model can eliminate the need for using extra tumor tissue to perform ancillary studies in order to assess for ERG gene rearrangement in prostatic adenocarcinoma.
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- 2022
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6. Author Correction: Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials.
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Andre Esteva, Jean Feng, Douwe van der Wal, Shih-Cheng Huang, Jeffry P. Simko, Sandy Devries, Emmalyn Chen, Edward M. Schaeffer, Todd M. Morgan, Yilun Sun, Amirata Ghorbani, Nikhil Naik 0002, Dhruv Nathawani, Richard Socher, Jeff M. Michalski, Mack Roach, Thomas M. Pisansky, Jedidiah M. Monson, Farah Naz, James Wallace, Michelle J. Ferguson, Jean-Paul Bahary, James Zou 0001, Matthew P. Lungren, Serena Yeung, Ashley E. Ross, Michael J. Kucharczyk, Luis Souhami, Leslie Ballas, Christopher A. Peters, Sandy Liu, Alexander G. Balogh, Pamela D. Randolph-Jackson, David L. Schwartz, Michael R. Girvigian, Naoyuki G. Saito, Adam Raben, Rachel A. Rabinovitch, Khalil Katato, Howard M. Sandler, Phuoc T. Tran, Daniel E. Spratt, Stephanie Pugh, Felix Y. Feng, and Osama Mohamad
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- 2023
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7. Comparative analysis of 1152 African-American and European-American men with prostate cancer identifies distinct genomic and immunological differences
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Walter Rayford, Alp Tuna Beksac, Jordan Alger, Mohammed Alshalalfa, Mohsen Ahmed, Irtaza Khan, Ugo G. Falagario, Yang Liu, Elai Davicioni, Daniel E. Spratt, Edward M. Schaeffer, Felix Y. Feng, Brandon Mahal, Paul L. Nguyen, Robert B. Den, Mark D. Greenberger, Randy Bradley, Justin M. Watson, Matthew Beamer, Lambros Stamatakis, Darrell J. Carmen, Shivanshu Awasthi, Jonathan Hwang, Rachel Weil, Harri Merisaari, Nihal Mohamed, Leslie A. Deane, Dimple Chakravarty, Kamlesh K. Yadav, Kosj Yamoah, Sujit S. Nair, and Ashutosh K. Tewari
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Biology (General) ,QH301-705.5 - Abstract
Walter Rayford, Alp Tuna Beksac et al. investigated gene expression alterations in African-American and European-American men who underwent radical prostatectomy for prostate cancer. The observed differences include higher expression of inflammation genes and lower expression of mismatch repair genes in African-American men.
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- 2021
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8. Plasma cells are enriched in localized prostate cancer in Black men and are associated with improved outcomes
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Adam B. Weiner, Thiago Vidotto, Yang Liu, Adrianna A. Mendes, Daniela C. Salles, Farzana A. Faisal, Sanjana Murali, Matthew McFarlane, Eddie L. Imada, Xin Zhao, Ziwen Li, Elai Davicioni, Luigi Marchionni, Arul M. Chinnaiyan, Stephen J. Freedland, Daniel E. Spratt, Jennifer D. Wu, Tamara L. Lotan, and Edward M. Schaeffer
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Science - Abstract
A recent report suggested Black men with prostate cancer were more responsive to immunotherapy. Here, the authors analysed prostate cancer gene expression profiles and show tumours from Black men and men with African ancestry have an increased proportion of plasma cells compared to those of White men and this correlates with improved outcome following treatment.
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- 2021
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9. Prostate Cancer Radiation Therapy Recommendations in Response to COVID-19
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Nicholas G. Zaorsky, MD, James B. Yu, MD, Sean M. McBride, MD, Robert T. Dess, MD, William C. Jackson, MD, Brandon A. Mahal, MD, Ronald Chen, MD, Ananya Choudhury, MD, Ann Henry, MD, Isabel Syndikus, MD, Timur Mitin, MD, Alison Tree, MD, Amar U. Kishan, MD, and Daniel E. Spratt, MD
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Medical physics. Medical radiology. Nuclear medicine ,R895-920 ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Purpose: During a global pandemic, the benefit of routine visits and treatment of patients with cancer must be weighed against the risks to patients, staff, and society. Prostate cancer is one of the most common cancers radiation oncology departments treat, and efficient resource utilization is essential in the setting of a pandemic. Herein, we aim to establish recommendations and a framework by which to evaluate prostate radiation therapy management decisions. Methods and Materials: Radiation oncologists from the United States and the United Kingdom rapidly conducted a systematic review and agreed upon recommendations to safely manage patients with prostate cancer during the COVID-19 pandemic. A RADS framework was created: remote visits, and avoidance, deferment, and shortening of radiation therapy was applied to determine appropriate approaches. Results: Recommendations were provided by the National Comprehensive Cancer Network risk group regarding clinical node-positive, postprostatectomy, oligometastatic, and low-volume M1 disease. Across all prostate cancer stages, telemedicine consultations and return visits were recommended when resources/staff available. Delays in consultations and return visits of between 1 and 6 months were deemed safe based on stage of disease. Treatment can be avoided or delayed until safe for very low, low, and favorable intermediate-risk disease. Unfavorable intermediate-risk, high-risk, clinical node-positive, recurrence postsurgery, oligometastatic, and low-volume M1 disease can receive neoadjuvant hormone therapy for 4 to 6 months as necessary. Ultrahypofractionation is preferred for localized, oligometastatic, and low-volume M1, and moderate hypofractionation is preferred for postprostatectomy and clinical node positive disease. Salvage is preferred to adjuvant radiation. Conclusions: Resources can be reduced for all identified stages of prostate cancer. The RADS (remote visits, and avoidance, deferment, and shortening of radiation therapy) framework can be applied to other disease sites to help with decision making in a global pandemic.
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- 2020
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10. The Special Medical Physics Consult Process for Reirradiation Patients
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Kelly C. Paradis, PhD, Charles Mayo, PhD, Dawn Owen, MD, Daniel E. Spratt, MD, Jason Hearn, MD, Benjamin Rosen, PhD, Rojano Kashani, PhD, Jean Moran, PhD, Daniel S. Tatro, CMD, Whitney Beeler, MD, Karen Vineberg, CMD, Dylan C. Smith, MS, and Martha M. Matuszak, PhD
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Medical physics. Medical radiology. Nuclear medicine ,R895-920 ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Purpose: To present a systematic approach to the reirradiation special medical physics consult (ReRT-SMPC) process. Materials and Methods: An in-house reirradiation committee of physicians and physicists was formed to develop a streamlined and well-documented approach to ReRT-SMPCs. Dosimetric goals and considerations for tissue repair were generated by the committee with input from the literature, clinical trial guidelines, and physician experience. Procedural workflow was also defined. Results: The total number of ReRT-SMPCs performed in our department in 2018 was 401, corresponding to 369 unique patients and 16% of the total number of patients receiving external beam radiation in our department that year. This constituted a large increase over the 183 ReRT-SMPCs performed in 2017. We have found that a standardized ReRT-SMPC workflow helps to safeguard patients, documents the clinical decision-making process for medical and legal purposes, and facilitates the peer-review process. The data being collected from each consult along with toxicity and outcomes data can be used to help inform future re-treatment guidelines. Conclusions: As the number of patients returning for additional courses of radiation continues to increase, a uniform method for the ReRT-SMPC workflow and analysis is a powerful tool for ensuring patient safety, understanding and predicting treatment toxicity, and refining reirradiation dosimetric limits.
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- 2019
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11. High-fat diet fuels prostate cancer progression by rewiring the metabolome and amplifying the MYC program
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David P. Labbé, Giorgia Zadra, Meng Yang, Jaime M. Reyes, Charles Y. Lin, Stefano Cacciatore, Ericka M. Ebot, Amanda L. Creech, Francesca Giunchi, Michelangelo Fiorentino, Habiba Elfandy, Sudeepa Syamala, Edward D. Karoly, Mohammed Alshalalfa, Nicholas Erho, Ashley Ross, Edward M. Schaeffer, Ewan A. Gibb, Mandeep Takhar, Robert B. Den, Jonathan Lehrer, R. Jeffrey Karnes, Stephen J. Freedland, Elai Davicioni, Daniel E. Spratt, Leigh Ellis, Jacob D. Jaffe, Anthony V. DʼAmico, Philip W. Kantoff, James E. Bradner, Lorelei A. Mucci, Jorge E. Chavarro, Massimo Loda, and Myles Brown
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Science - Abstract
Prostate cancer progression may be enhanced by a high-fat diet. Here the authors show that a diet high in saturated fats enhance the MYC-driven transcriptional program, a feature that independently predicts prostate cancer progression and death.
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- 2019
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12. A phase II randomized placebo-controlled double-blind study of salvage radiation therapy plus placebo versus SRT plus enzalutamide with high-risk PSA-recurrent prostate cancer after radical prostatectomy (SALV-ENZA)
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Roche Kapoor, Matthew P. Deek, Riley McIntyre, Natasha Raman, Megan Kummerlowe, Iyah Chen, Matt Gaver, Hao Wang, Sam Denmeade, Tamara Lotan, Channing Paller, Mark Markowski, Michael Carducci, Mario Eisenberger, Tomasz M. Beer, Daniel Y. Song, Theodore L. DeWeese, Jason W. Hearn, Stephen Greco, Curtiland DeVille, Neil B. Desai, Elisabeth I. Heath, Stanley Liauw, Daniel E. Spratt, Arthur Y. Hung, Emmanuel S. Antonarakis, and Phuoc T. Tran
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Recurrent prostate cancer ,Salvage radiation therapy (SRT) ,High-risk prostate cancer ,Enzalutamide ,Prostatectomy ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Abstract Background In men with a rising PSA following radical prostatectomy, salvage radiation therapy (SRT) offers a second chance for cure. Hormonal therapy can be combined with SRT in order to increase prostate tumor control, albeit with associated higher rates of treatment side effects. This trial studies the effectiveness of SRT combined with hormonal therapy using a more potent anti-androgen with a favorable side effect profile. Enzalutamide, a next generation selective androgen receptor antagonist, is approved by the Food and Drug Administration for the treatment of metastatic castrate-resistant prostate cancer (CRPC) where it has been shown to improve overall survival in combination with androgen deprivation therapy. The primary objective of this study is to evaluate the efficacy of combination SRT and enzalutamide for freedom-from-PSA-progression. Secondary objectives include time to local recurrence within the radiation field, metastasis-free survival and safety as determined by frequency and severity of adverse events. Methods/design This is a randomized, double-blind, phase II, prospective, multicenter study in adult males with biochemically recurrent prostate cancer following radical prostatectomy. Following registration, enzalutamide 160 mg or placebo by mouth (PO) once daily will be administered for 6 months. Following two months of study drug, external beam radiotherapy to 66.6–70.2 Gray (Gy) will be administered to the prostate bed over 7–8 weeks while continuing daily placebo/enzalutamide. This is followed by two additional months of placebo/enzalutamide. Discussion The SALV-ENZA trial is the first phase II placebo-controlled double-blinded randomized study to test SRT in combination with a next generation androgen receptor antagonist in men with high-risk recurrent prostate cancer after radical prostatectomy. The primary hypothesis of this study is that clinical outcomes will be improved by the addition of enzalutamide compared to standard-of-care SRT alone and pave the path for phase III evaluation of this combination. Trial registrations ClinicaltTrials.gov Identifier: NCT02203695 Date of Registration: 06/16/2014. Date of First Participant Enrollment: 04/16/2015.
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- 2019
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13. Effect of Prior Local Therapy on Response to First-line Androgen Receptor Axis Targeted Therapy in Metastatic Castrate-resistant Prostate Cancer: A Secondary Analysis of the COU-AA-302 Trial
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Soumyajit Roy, Yilun Sun, Scott C. Morgan, Christopher J.D. Wallis, Kevin King, Yu M. Zhou, Leah A. D'souza, Omar Azem, Adrianna E. Cueto-Marquez, Nathaniel B. Camden, Daniel E. Spratt, Amar U. Kishan, Fred Saad, and Shawn Malone
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Urology - Published
- 2023
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14. Lutetium-177 PSMA for the treatment of metastatic castrate resistant prostate cancer: a systematic review
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Kanchi Patell, Matthew Kurian, Jorge A. Garcia, Prateek Mendiratta, Pedro C. Barata, Angela Y. Jia, Daniel E. Spratt, and Jason R. Brown
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Oncology ,Pharmacology (medical) - Published
- 2023
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15. Implications of metastatic stage at presentation in docetaxel naïve metastatic castrate resistant prostate cancer
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Soumyajit Roy, Christopher J. D. Wallis, Scott C. Morgan, Amar U. Kishan, Amy Tu Trinh Le, Julia Malone, Yilun Sun, Daniel E. Spratt, Fred Saad, and Shawn Malone
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Oncology ,Urology - Published
- 2023
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16. Unknown Causes of Death in Cancer Patients
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Siven Chinniah, Mckenzee Chiam, Kyle Mani, Menglu Liang, Daniel M. Trifiletti, Daniel E. Spratt, Vinayak K. Prasad, Ming Wang, Leila T. Tchelebi, and Nicholas G. Zaorsky
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Cancer Research ,Oncology - Published
- 2023
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17. The Impact of a Statewide Active Surveillance Initiative: A Roadmap for Increasing Active Surveillance Utilization Nationwide
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Randy A, Vince, Yilun, Sun, Brandon, Mahal, Kevin, Ginsburg, Arvin, George, Michael, Cher, Brian, Lane, Richard, Sarle, Todd M, Morgan, and Daniel E, Spratt
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Urology - Abstract
Active surveillance (AS) is recommended as a management option for men with favorable-risk (low risk and favorable intermediate risk) prostate cancer; however, national rates remain low. The Michigan Urological Surgery Improvement Collaborative (MUSIC) established a quality improvement (QI) initiative in June 2014 to increase AS utilization. In this report, we analyze the rates of AS utilization over time in the state of Michigan (MUSIC) for men with favorable-risk prostate cancer and compare these to rates for other men diagnosed with favorable-risk prostate cancer in the USA outside the state of Michigan. While the variables that influence AS utilization were the same in both cohorts, we found that the AS utilization rates and the rate of increase were significantly higher in MUSIC. We conclude that the QI initiative started in MUSIC should serve as a roadmap to increasing AS use nationwide. PATIENT SUMMARY: Active surveillance (AS), which involves close monitoring with blood tests and scans, is recommended for management of favorable-risk prostate cancer to avoid or delay unnecessary treatment. Our results show that a quality improvement program in Michigan increased AS use for prostate cancer patients in the state. This program should be used to increase AS uptake throughout the USA.
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- 2023
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18. Transcriptomic Heterogeneity in High-risk Prostate Cancer and Implications for Extraprostatic Disease at Presentation on Prostate-specific Membrane Antigen Positron Emission Tomography
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Clayton P. Smith, James A. Proudfoot, Paul C. Boutros, Robert E. Reiter, Luca Valle, Matthew B. Rettig, Nicholas G. Nickols, Felix Y. Feng, Paul L. Nguyen, Himanshu Nagar, Daniel E. Spratt, Gert Attard, Adam Weiner, Joanne B. Weidhaas, Jeremie Calais, T. Martin Ma, Elai Davicioni, Michael Xiang, and Amar U. Kishan
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Oncology ,Urology ,Radiology, Nuclear Medicine and imaging ,Surgery - Published
- 2023
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19. External Beam Radiation Therapy With or Without Brachytherapy Boost in Men With Very-High-Risk Prostate Cancer: A Large Multicenter International Consortium Analysis
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Sagar A. Patel, Ting Martin Ma, Jessica K. Wong, Bradley J. Stish, Robert T. Dess, Avinash Pilar, Chandana Reddy, Trude B. Wedde, Wolfgang A. Lilleby, Ryan Fiano, Gregory S. Merrick, Richard G. Stock, D. Jeffrey Demanes, Brian J. Moran, Phuoc T. Tran, Daniel J. Krauss, Eyad I. Abu-Isa, Thomas M. Pisansky, C. Richard Choo, Daniel Y. Song, Stephen Greco, Curtiland Deville, Theodore L. DeWeese, Derya Tilki, Jay P. Ciezki, R. Jeffrey Karnes, Nicholas G. Nickols, Matthew B. Rettig, Felix Y. Feng, Alejandro Berlin, Jonathan D. Tward, Brian J. Davis, Robert E. Reiter, Paul C. Boutros, Tahmineh Romero, Eric M. Horwitz, Rahul D. Tendulkar, Michael L. Steinberg, Daniel E. Spratt, Michael Xiang, and Amar U. Kishan
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Cancer Research ,Radiation ,Oncology ,Radiology, Nuclear Medicine and imaging - Abstract
Very-high-risk (VHR) prostate cancer (PC) is an aggressive subgroup with high risk of distant disease progression. Systemic treatment intensification with abiraterone or docetaxel reduces PC-specific mortality (PCSM) and distant metastasis (DM) in men receiving external beam radiation therapy (EBRT) with androgen deprivation therapy (ADT). Whether prostate-directed treatment intensification with the addition of brachytherapy (BT) boost to EBRT with ADT improves outcomes in this group is unclear.This cohort study from 16 centers across 4 countries included men with VHR PC treated with either dose-escalated EBRT with ≥24 months of ADT or EBRT + BT boost with ≥12 months of ADT. VHR was defined by National Comprehensive Cancer Network (NCCN) criteria (clinical T3b-4, primary Gleason pattern 5, or ≥2 NCCN high-risk features), and results were corroborated in a subgroup of men who met Systemic Therapy in Advancing or Metastatic Prostate Cancer: Evaluation of Drug Efficacy (STAMPEDE) trials inclusion criteria (≥2 of the following: clinical T3-4, Gleason 8-10, or PSA ≥40 ng/mL). PCSM and DM between EBRT and EBRT + BT were compared using inverse probability of treatment weight-adjusted Fine-Gray competing risk regression.Among the entire cohort, 270 underwent EBRT and 101 EBRT + BT. After a median follow-up of 7.8 years, 6.7% and 5.9% of men died of PC and 16.3% and 9.9% had DM after EBRT and EBRT + BT, respectively. There was no significant difference in PCSM (sHR, 1.47 [95% CI, 0.57-3.75]; P = .42) or DM (sHR, 0.72, [95% CI, 0.30-1.71]; P = .45) between EBRT + BT and EBRT. Results were similar within the STAMPEDE-defined VHR subgroup (PCSM: sHR, 1.67 [95% CI, 0.48-5.81]; P = .42; DM: sHR, 0.56 [95% CI, 0.15-2.04]; P = .38).In this VHR PC cohort, no difference in clinically meaningful outcomes was observed between EBRT alone with ≥24 months of ADT compared with EBRT + BT with ≥12 months of ADT. Comparative analyses in men treated with intensified systemic therapy are warranted.
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- 2023
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20. Editorial: Optimizing Local Therapy for High-Risk Prostate Cancer: Evidence and Emerging Options
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Nicholas G. Zaorsky, Daniel E. Spratt, Amar U. Kishan, Stephen H. Culp, and Timothy N. Showalter
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high risk prostate cancer ,androgen deprivation therapy ,radical prostatecomy ,recurrent prostate cancer ,radiation therapy ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Published
- 2020
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21. Medulloblastoma therapy generates risk of a poorly-prognostic H3 wild-type subgroup of diffuse intrinsic pontine glioma: a report from the International DIPG Registry
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Hunter C. Gits, Maia Anderson, Stefanie Stallard, Drew Pratt, Becky Zon, Christopher Howell, Chandan Kumar-Sinha, Pankaj Vats, Katayoon Kasaian, Daniel Polan, Martha Matuszak, Daniel E. Spratt, Marcia Leonard, Tingting Qin, Lili Zhao, James Leach, Brooklyn Chaney, Nancy Yanez Escorza, Jacob Hendershot, Blaise Jones, Christine Fuller, Sarah Leary, Ute Bartels, Eric Bouffet, Torunn I. Yock, Patricia Robertson, Rajen Mody, Sriram Venneti, Arul M. Chinnaiyan, Maryam Fouladi, Nicholas G. Gottardo, and Carl Koschmann
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Secondary malignant neoplasm ,Diffuse intrinsic pontine glioma ,Medulloblastoma ,Cranial irradiation ,Brainstem ,Neurology. Diseases of the nervous system ,RC346-429 - Abstract
Abstract With improved survivorship in medulloblastoma, there has been an increasing incidence of late complications. To date, no studies have specifically addressed the risk of radiation-associated diffuse intrinsic pontine glioma (DIPG) in medulloblastoma survivors. Query of the International DIPG Registry identified six cases of DIPG with a history of medulloblastoma treated with radiotherapy. All patients underwent central radiologic review that confirmed a diagnosis of DIPG. Six additional cases were identified in reports from recent cooperative group medulloblastoma trials (total n = 12; ages 7 to 21 years). From these cases, molecular subgrouping of primary medulloblastomas with available tissue (n = 5) revealed only non-WNT, non-SHH subgroups (group 3 or 4). The estimated cumulative incidence of DIPG after post-treatment medulloblastoma ranged from 0.3–3.9%. Posterior fossa radiation exposure (including brainstem) was greater than 53.0 Gy in all cases with available details. Tumor/germline exome sequencing of three radiation-associated DIPGs revealed an H3 wild-type status and mutational signature distinct from primary DIPG with evidence of radiation-induced DNA damage. Mutations identified in the radiation-associated DIPGs had significant molecular overlap with recurrent drivers of adult glioblastoma (e.g. NRAS, EGFR, and PTEN), as opposed to epigenetic dysregulation in H3-driven primary DIPGs. Patients with radiation-associated DIPG had a significantly worse median overall survival (median 8 months; range 4–17 months) compared to patients with primary DIPG. Here, it is demonstrated that DIPG occurs as a not infrequent complication of radiation therapy in survivors of pediatric medulloblastoma and that radiation-associated DIPGs may present as a poorly-prognostic distinct molecular subgroup of H3 wild-type DIPG. Given the abysmal survival of these cases, these findings provide a compelling argument for efforts to reduce exposure of the brainstem in the treatment of medulloblastoma. Additionally, patients with radiation-associated DIPG may benefit from future therapies targeted to the molecular features of adult glioblastoma rather than primary DIPG.
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- 2018
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22. Phase II Randomized Study of Salvage Radiation Therapy Plus Enzalutamide or Placebo for High-Risk Prostate-Specific Antigen Recurrent Prostate Cancer After Radical Prostatectomy: The SALV-ENZA Trial
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Phuoc T. Tran, Kathryn Lowe, Hua-Ling Tsai, Daniel Y. Song, Arthur Y. Hung, Jason W.D. Hearn, Steven Miller, James A. Proudfoot, Matthew P. Deek, Ryan Phillips, Tamara Lotan, Channing J. Paller, Catherine H. Marshall, Mark Markowski, Shirl Dipasquale, Samuel Denmeade, Michael Carducci, Mario Eisenberger, Theodore L. DeWeese, Matthew Orton, Curtiland Deville, Elai Davicioni, Stanley L. Liauw, Elisabeth I. Heath, Stephen Greco, Neil B. Desai, Daniel E. Spratt, Felix Feng, Hao Wang, Tomasz M. Beer, and Emmanuel S. Antonarakis
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Cancer Research ,Oncology - Abstract
PURPOSE We sought to investigate whether enzalutamide (ENZA), without concurrent androgen deprivation therapy, increases freedom from prostate-specific antigen (PSA) progression (FFPP) when combined with salvage radiation therapy (SRT) in men with recurrent prostate cancer after radical prostatectomy (RP). PATIENTS AND METHODS Men with biochemically recurrent prostate cancer after RP were enrolled into a randomized, double‐blind, phase II, placebo-controlled, multicenter study of SRT plus ENZA or placebo (ClinicalTrials.gov identifier: NCT02203695 ). Random assignment (1:1) was stratified by center, surgical margin status (R0 v R1), PSA before salvage treatment (PSA ≥ 0.5 v < 0.5 ng/mL), and pathologic Gleason sum (7 v 8‐10). Patients were assigned to receive either ENZA 160 mg once daily or matching placebo for 6 months. After 2 months of study drug therapy, external-beam radiation (66.6‐70.2 Gy) was administered to the prostate bed (no pelvic nodes). The primary end point was FFPP in the intention-to-treat population. Secondary end points were time to local recurrence within the radiation field, metastasis‐free survival, and safety as determined by frequency and severity of adverse events. RESULTS Eighty-six (86) patients were randomly assigned, with a median follow-up of 34 (range, 0-52) months. Trial arms were well balanced. The median pre-SRT PSA was 0.3 (range, 0.06-4.6) ng/mL, 56 of 86 patients (65%) had extraprostatic disease (pT3), 39 of 86 (45%) had a Gleason sum of 8-10, and 43 of 86 (50%) had positive surgical margins (R1). FFPP was significantly improved with ENZA versus placebo (hazard ratio [HR], 0.42; 95% CI, 0.19 to 0.92; P = .031), and 2-year FFPP was 84% versus 66%, respectively. Subgroup analyses demonstrated differential benefit of ENZA in men with pT3 (HR, 0.22; 95% CI, 0.07 to 0.69) versus pT2 disease (HR, 1.54; 95% CI, 0.43 to 5.47; Pinteraction = .019) and R1 (HR, 0.14; 95% CI, 0.03 to 0.64) versus R0 disease (HR, 1.00; 95% CI, 0.36 to 2.76; Pinteraction = .023). There were insufficient secondary end point events for analysis. The most common adverse events were grade 1-2 fatigue (65% ENZA v 53% placebo) and urinary frequency (40% ENZA v 49% placebo). CONCLUSION SRT plus ENZA monotherapy for 6 months in men with PSA-recurrent high-risk prostate cancer after RP is safe and delays PSA progression relative to SRT alone. The impact of ENZA on distant metastasis or survival is unknown at this time.
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- 2023
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23. Biochemical Failure Is Not a Surrogate End Point for Overall Survival in Recurrent Prostate Cancer: Analysis of NRG Oncology/RTOG 9601
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William C. Jackson, Ming Tang, Matthew J. Schipper, Howard M. Sandler, Zachary S. Zumsteg, Jason A. Efstathiou, William U. Shipley, Wendy Seiferheld, Himanshu R. Lukka, Jean-Paul Bahary, Anthony L. Zietman, Thomas M. Pisansky, Kenneth L. Zeitzer, William A. Hall, Robert T. Dess, Richard D. Lovett, Alexander G. Balogh, Felix Y. Feng, and Daniel E. Spratt
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Male ,Prostatectomy ,Cancer Research ,Oncology ,Humans ,Prostatic Neoplasms ,Androgen Antagonists ,Neoplasm Recurrence, Local ,Prostate-Specific Antigen ,Biomarkers ,Hormones - Abstract
PURPOSE Metastasis-free survival (MFS), but not event-free survival, is a validated surrogate end point for overall survival (OS) in men treated for localized prostate cancer. It remains unknown if this holds true in biochemically recurrent disease after radical prostatectomy. Leveraging NRG/RTOG 9601, we aimed to determine the performance of intermediate clinical end points (ICEs) as surrogate end points for OS in recurrent prostate cancer. MATERIALS AND METHODS NRG/RTOG 9601 randomly assigned 760 men with recurrence after prostatectomy to salvage radiation therapy with 2 years of placebo versus bicalutamide 150 mg daily. ICEs assessed were biochemical failure (BF) per NRG/RTOG 9601 (prostate-specific antigen nadir + 0.3-0.5 ng/mL or initiation of salvage hormone therapy; [BF1]) and NRG/RTOG 0534 (prostate-specific antigen nadir+2 ng/mL; [BF2]), distant metastasis (DM), and MFS (DM or death). Surrogacy was assessed by the Prentice criteria and a two-stage meta-analytic approach (condition one assessed at the patient level with Kendall's τ and condition two assessed by randomly dividing the entire trial cohort into 10 pseudo trial centers and calculating the average R2 between treatment hazard ratios for ICE and OS). RESULTS BF1, BF2, DM, and MFS satisfied the four Prentice criteria. However, with the two-condition meta-analytic approach, there was strong correlation between MFS and OS (τ = 0.86), moderate correlation between DM and OS (τ = 0.66), and weaker correlation between BF1 (τ = 0.25) or BF2 (τ = 0.40) and OS. Similarly, for condition two, the treatment effect of antiandrogen therapy on MFS and OS were correlated ( R2 = 0.67), but this was not true for BF1 ( R2 = 0.09), BF2 ( R2 = 0.12), or DM ( R2 = 0.18) and OS. CONCLUSION MFS is also a strong surrogate for OS in men receiving salvage radiation therapy for recurrence after prostatectomy. Caution should be used when inferring survival benefit from effects on BF in biochemically recurrent prostate cancer. Lack of comorbidity data did not allow us to assess whether BF in men with no/minimal comorbidity could serve as a surrogate for OS.
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- 2023
24. YIA23-005: Early Interim Analysis of a Phase II Randomized Trial of Moderate Versus Ultra-Hypofractionated Post-Prostatectomy Radiation Therapy
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William C. Jackson, Krithika Suresh, Daniel E. Spratt, and Robert T. Dess
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Oncology - Published
- 2023
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25. Androgen receptor as a mediator and biomarker of radioresistance in triple-negative breast cancer
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Corey Speers, Shuang G. Zhao, Ben Chandler, Meilan Liu, Kari Wilder-Romans, Eric Olsen, Shyam Nyati, Cassandra Ritter, Prasanna G. Alluri, Vishal Kothari, Daniel F. Hayes, Theodore S. Lawrence, Daniel E. Spratt, Daniel R. Wahl, Lori J. Pierce, and Felix Y. Feng
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Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Radiation: Drug target found for radioresistance Drugs that block the androgen receptor (AR) protein can help make radiation-resistant breast tumors susceptible to ionizing therapy. Corey Speers from the University of Michigan, Ann Arbor, USA, and colleagues characterized the radiation sensitivity of 21 breast cancer cell lines and then paired the response data with the findings of a high-throughput drug screen to identify a medication called bicalutamide — an AR inhibitor — as one of the most potent agents for overcoming radiation resistance. The researchers then measured the expression of AR in more than 2100 human breast tumor samples and 51 breast cancer cell lines, and found that patients with triple-negative breast cancer, especially those who relapsed after radiation, had elevated levels of AR. Cell experiments with enzalutamide, a newer generation AR-blocking drug, confirmed that targeting AR helps reverse radiation resistance.
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- 2017
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26. Rare Presentation of Metastatic Cystic Trophoblastic Tumor in a Patient Without Prior Chemotherapy
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Michael L. Wang, Jonathan B. McHugh, Alon Z. Weizer, Todd M. Morgan, Arul M. Chinnaiyan, Andrew P. Sciallis, Amir Lagstein, Daniel E. Spratt, and Rohit Mehra
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Testicular germ cell tumor ,Cystic trophoblastic tumor ,Choriocarcinoma ,SALL4 ,Diseases of the genitourinary system. Urology ,RC870-923 - Abstract
Cystic trophoblastic tumor (CTT) is a rare testicular germ cell tumor (GCT) predominantly seen in post-chemotherapy patients. It is prognostically similar to teratoma and requires no additional chemotherapy in the absence of a nonteratomatous GCT component. We report a case of metastatic CTT in a patient with primary testicular teratoma without prior chemotherapy. Retroperitoneal lymph node metastases contained teratoma, embryonal carcinoma, and CTT. The CTT was β-hCG positive and SALL4 negative by immunohistochemistry (IHC). CTT can arise in metastatic testicular GCT in treatment naïve patients. An important differential diagnosis is choriocarcinoma due to treatment implications, and SALL4 IHC may help.
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- 2017
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27. Local Failure Events in Prostate Cancer Treated with Radiotherapy
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Ting Martin Ma, Fang-I Chu, Howard Sandler, Felix Y. Feng, Jason A. Efstathiou, Christopher U. Jones, Mack Roach, Seth A. Rosenthal, Thomas Pisansky, Jeff M. Michalski, Michel Bolla, Theo M. de Reijke, Philippe Maingon, Anouk Neven, James Denham, Allison Steigler, David Joseph, Abdenour Nabid, Luis Souhami, Nathalie Carrier, Luca Incrocci, Wilma Heemsbergen, Floris J. Pos, Matthew R. Sydes, David P. Dearnaley, Alison C. Tree, Isabel Syndikus, Emma Hall, Clare Cruickshank, Shawn Malone, Soumyajit Roy, Yilun Sun, Nicholas G. Zaorsky, Nicholas G. Nickols, Robert E. Reiter, Matthew B. Rettig, Michael L. Steinberg, Vishruth K. Reddy, Michael Xiang, Tahmineh Romero, Daniel E. Spratt, and Amar U. Kishan
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Male ,Prostate cancer ,Urology ,Prostatic Neoplasms ,Prostate-Specific Antigen ,Pooled analysis ,Radiation therapy ,SDG 3 - Good Health and Well-being ,Local control ,Distant metastasis ,Humans ,Neoplasm Recurrence, Local ,Local failure ,Proportional Hazards Models ,Randomized Controlled Trials as Topic ,Retrospective Studies - Abstract
Context: The prognostic importance of local failure after definitive radiotherapy (RT) in National Comprehensive Cancer Network intermediate- and high-risk prostate cancer (PCa) patients remains unclear. Objective: To evaluate the prognostic impact of local failure and the kinetics of distant metastasis following RT. Evidence acquisition: A pooled analysis was performed on individual patient data of 12 533 PCa (6288 high-risk and 6245 intermediate-risk) patients enrolled in 18 randomized trials (conducted between 1985 and 2015) within the Meta-analysis of Randomized Trials in Cancer of the Prostate Consortium. Multivariable Cox proportional hazard (PH) models were developed to evaluate the relationship between overall survival (OS), PCa-specific survival (PCSS), distant metastasis-free survival (DMFS), and local failure as a time-dependent covariate. Markov PH models were developed to evaluate the impact of specific transition states. Evidence synthesis: The median follow-up was 11 yr. There were 795 (13%) local failure events and 1288 (21%) distant metastases for high-risk patients and 449 (7.2%) and 451 (7.2%) for intermediate-risk patients, respectively. For both groups, 81% of distant metastases developed from a clinically relapse-free state (cRF state). Local failure was significantly associated with OS (hazard ratio [HR] 1.17, 95% confidence interval [CI] 1.06–1.30), PCSS (HR 2.02, 95% CI 1.75–2.33), and DMFS (HR 1.94, 95% CI 1.75–2.15, p < 0.01 for all) in high-risk patients. Local failure was also significantly associated with DMFS (HR 1.57, 95% CI 1.36–1.81) but not with OS in intermediate-risk patients. Patients without local failure had a significantly lower HR of transitioning to a PCa-specific death state than those who had local failure (HR 0.32, 95% CI 0.21–0.50, p < 0.001). At later time points, more distant metastases emerged after a local failure event for both groups. Conclusions: Local failure is an independent prognosticator of OS, PCSS, and DMFS in high-risk and of DMFS in intermediate-risk PCa. Distant metastasis predominantly developed from the cRF state, underscoring the importance of addressing occult microscopic disease. However a “second wave” of distant metastases occurs subsequent to local failure events, and optimization of local control may reduce the risk of distant metastasis. Patient summary: Among men receiving definitive radiation therapy for high- and intermediate-risk prostate cancer, about 10% experience local recurrence, and they are at significantly increased risks of further disease progression. About 80% of patients who develop distant metastasis do not have a detectable local recurrence preceding it.
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- 2022
28. Metastatic prostate cancer diagnosed by fine‐needle aspiration: Contemporary cytopathologic and biomarker assessment with clinical correlates
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Richard L. Cantley, Xiaoming Wang, Zachery R. Reichert, Arul M. Chinnaiyan, Rahul Mannan, Xuhong Cao, Daniel E. Spratt, Ulka N. Vaishampayan, Joshi J. Alumkal, Todd M. Morgan, Ganesh Palapattu, Matthew S. Davenport, Liron Pantanowitz, and Rohit Mehra
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Cancer Research ,Oncology - Abstract
The diagnosis of metastatic prostatic cancer (MPC) by fine needle aspiration (FNA) can usually be rendered by typical cytomorphologic and immunohistochemical (IHC) features. However, MPC diagnosis may be complicated by transformation to atypical phenotypes such as small cell carcinoma, typically under pressure from androgen deprivation therapy (ADT). Predictive and prognostic biomarkers can also be assessed by IHC. This study illustrates how careful assessment of cytologic and biomarker features may provide therapeutic and prognostic information in MPC.We reviewed our anatomic pathology archives for MPC diagnosed by FNA from January 2014 to June 2021. Clinical histories, cytology slides, and cell blocks were reviewed. Extensive IHC biomarker workup was performed, including markers of prostate lineage, cell-cycle dysfunction, Ki-67, neuroendocrine markers, PDL1, and androgen receptor splice variant 7. Cases were reclassified into three categories: conventional type, intermediary type, and high-grade neuroendocrine carcinoma (HGNC).Eighteen patients were identified. Twelve had conventional MPC, including six of six ADT-naive patients. Six of twelve (50%) with prior ADT were reclassified as intermediary or HGNC. Four intermediary cases included two with squamous differentiation and two with pro-proliferative features. Two HGNC cases had typical small cell carcinoma cytomorphology. Expression of PDL1 was identified in two cases and ARv7 in three cases. Five of five intermediary and HGNC patients died of disease versus six of eleven with with conventional type.Aggressive cytomorphologic variants were commonly identified in patients with prior ADT. Identification of nonconventional cytomorphology and increased proliferation can provide important prognostic information. Recognition of these changes is important for an accurate diagnosis, and the identification of high-grade variants can affect therapeutic decision-making. Clinically actionable biomarkers such as PDL1 and ARv7 can be assessed by IHC.
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- 2022
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29. Association of dynamic change in patient-reported pain with survival in metastatic castrate sensitive prostate cancer—exploratory analysis of LATITUDE study
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Soumyajit Roy, Scott C. Morgan, Christopher J. D. Wallis, Yilun Sun, Daniel E. Spratt, Julia Malone, Scott Grimes, Dibya Mukherjee, Amar U. Kishan, Fred Saad, and Shawn Malone
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Cancer Research ,Oncology ,Urology - Abstract
Pain is an important dimension of quality-of-life in patients with metastatic castrate-sensitive prostate cancer (mCSPC). However, it is unclear if dynamic change in pain over time can predict for overall survival (OS) or progression-free survival (PFS) in these patients.This is an exploratory analysis of LATITUDE, a phase III randomized study, in which men with de novo mCSPC were randomized to receive either ADT plus abiraterone versus ADT alone. Information was collected on patient-reported worst pain score (WPS) and pain-interference score (PIS) from the Brief Pain Inventory-Short Form. A Bayesian joint modelling approach was used determine the association of dynamic change in WPS and PIS with OS and PFS.Overall, 1125 patients with at least 3 measurements on pain scores were eligible. On Cox multivariable regression, increase in baseline WPS was associated with inferior OS (hazard ratio [HR] 1.049 [95% confidence intervals [CI] 1.015-1.085]; time dependent area under curve [tAUC] 0.64) and PFS (HR 1.045 [1.011-1.080]; tAUC: 0.64). Increase in baseline PIS was associated with inferior OS (HR 1.062 [1.020-1.105]; tAUC: 0.63) but not with PFS (HR 1.038 [0.996-1.08]). On independent joint models, an increase in the current value of WPS by 1-unit was associated with inferior OS (HR 1.316 [1.258-1.376]; tAUC 0.74) and PFS (HR 1.319 [1.260-1.382]; tAUC 0.70). Similar association was seen for increase in the current value of PIS with OS (HR 1.319 [1.261-1.381]; tAUC 0.73) and PFS (HR 1.282 [1.224-1.344]; tAUC 0.73).The above findings highlight the potential dynamic interplay between patient-reported pain with OS and PFS in mCSPC. Compared to baseline pain, such dynamic assessment of pain was found to have superior predictive ability and thus has the potential to tailor subsequent treatment based on response to initial therapy beyond its role as a very important dimension of quality-of-life.
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- 2022
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30. Race and prostate cancer: genomic landscape
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Camilo Arenas-Gallo, Jude Owiredu, Ilon Weinstein, Patrick Lewicki, Spyridon P. Basourakos, Randy Vince, Bashir Al Hussein Al Awamlh, Fredrick R. Schumacher, Daniel E. Spratt, Christopher E. Barbieri, and Jonathan E. Shoag
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Urology - Published
- 2022
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31. Identification and Validation of the Prognostic Impact of Metastatic Prostate Cancer Phenotypes
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Shelby A. Labe, Xi Wang, Eric J. Lehrer, Amar U. Kishan, Daniel E. Spratt, Christine Lin, Alicia K. Morgans, Lee Ponsky, Jorge A. Garcia, Sara Garrett, Ming Wang, and Nicholas G. Zaorsky
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Male ,Nomograms ,Phenotype ,Oncology ,Urology ,Humans ,Prostatic Neoplasms ,Bone Neoplasms ,Prognosis ,Neoplasm Staging - Abstract
Castration-sensitive metastatic prostate cancer is heterogeneous. Our objective is to identify metastatic prostate cancer phenotypes and their prognostic impact on survival.The National Cancer Database was queried. The Surveillance, Epidemiology, and End Results database was used for validation. Patterns were split into: nonregional lymph node, bone only, and visceral (any brain/liver/lung). Hazard ratios (HR) with 95% confidence intervals (CI) were calculated for the univariate and multivariate Cox proportional hazards regression models, odds ratios were calculated, Kaplan-Meier curves were generated, and a nomogram of the multivariate regression model was created.The training set included 13,818 men; bone only was most common (n = 11,632, 84.2%), then nonregional lymph node (n = 1388, 10.0%), and any visceral (brain/liver/lung; n = 798, 5.8%). Risk of death was increased by metastases to a visceral organ versus nonregional lymph node (HR = 2.26; 95% CI [2.00, 2.56]), bone only metastases versus nonregional lymph node (HR = 1.57; 95% CI [1.43, 1.72]), T-stage 4 versus 1 (HR = 1.27; 95% CI [1.17, 1.36]), Grade Group 5 versus 1 (HR = 1.93; 95% CI [1.61, 2.31]), PSA20 ng/mL versus10 ng/mL (HR = 1.32; 95% CI [1.23, 1.42]), and age ≥ 80 versus50 (HR = 1.96; 95% CI [1.69, 2.29]). On internal validation, the model had C-indices 20.5%, 22.7%, and 14.6% higher than the current staging system for overall survival, 1-year, and 5-year survival, respectively.We developed and validated prognostic metastatic prostate cancer phenotypes that can assist risk stratification to potentially personalize therapy. Our nomogram (https://tinyurl.com/prostate-met) may be used to predict survival.
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- 2022
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32. Trials in the Key of G: Building Level 1 Evidence on the Real-world Effectiveness of Prostate Biomarkers
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Linda A, Okoth, Anna C, Harris, Udit, Singhal, Michael L, Cher, Daniel E, Spratt, and Todd M, Morgan
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Male ,Urology ,Prostate ,Humans ,Prostatic Neoplasms ,Genomics ,Prostate-Specific Antigen - Abstract
A number of genomic classifiers are available to aid in shared decision-making for men with localized prostate cancer; however, there is no high-level evidence assessing their clinical utility. The two randomized controlled trials in this report prospectively evaluate the use of gene expression classifier testing at the time of cancer diagnosis and after surgical treatment.
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- 2022
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33. High-dose Radiotherapy or Androgen Deprivation Therapy (HEAT) as Treatment Intensification for Localized Prostate Cancer
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Amar U. Kishan, Xiaoyan Wang, Yilun Sun, Tahmineh Romero, Jeff M. Michalski, Ting Martin Ma, Felix Y. Feng, Howard M. Sandler, Michel Bolla, Philippe Maingon, Theo De Reijke, Anouk Neven, Allison Steigler, James W. Denham, David Joseph, Abdenour Nabid, Nathalie Carrier, Luis Souhami, Matt R. Sydes, David P. Dearnaley, Isabel Syndikus, Alison C. Tree, Luca Incrocci, Wilma D. Heemsbergen, Floris J. Pos, Almudena Zapatero, Jason A. Efstathiou, Araceli Guerrero, Ana Alvarez, Carmen Gonzalez San-Segundo, Xavier Maldonado, Michael Xiang, Matthew B. Rettig, Robert E. Reiter, Nicholas G. Zaorsky, Wee Loon Ong, Robert T. Dess, Michael L. Steinberg, Nicholas G. Nickols, Soumyajit Roy, Jorge A. Garcia, Daniel E. Spratt, Radiotherapy, APH - Personalized Medicine, APH - Quality of Care, Urology, and CCA - Cancer Treatment and Quality of Life
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Male ,Hot Temperature ,Radiotherapy ,SDG 3 - Good Health and Well-being ,Urology ,Network Meta-Analysis ,Quality of Life ,Humans ,Multicenter Studies as Topic ,Prostatic Neoplasms ,Androgen Antagonists ,Bayes Theorem ,Radiotherapy Dosage - Abstract
Background: The relative benefits of radiotherapy (RT) dose escalation and the addition of short-term or long-term androgen deprivation therapy (STADT or LTADT) in the treatment of prostate cancer are unknown. Objective: To perform a network meta-analysis (NMA) of relevant randomized trials to compare the relative benefits of RT dose escalation ± STADT or LTADT. Design, setting, and participants: An NMA of individual patient data from 13 multicenter randomized trials was carried out for a total of 11 862 patients. Patients received one of the six permutations of low-dose RT (64 to
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- 2022
34. Lutetium-177 DOTATATE: A Practical Review
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Angela Y. Jia, Rojano Kashani, Nicholas G. Zaorsky, Daniel E. Spratt, Ana P. Kiess, Jeff M. Michalski, Jacqueline E. Zoberi, Hyun Kim, and Brian C. Baumann
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Radioisotopes ,Neuroendocrine Tumors ,Oncology ,Positron-Emission Tomography ,Humans ,Radiology, Nuclear Medicine and imaging ,Lutetium ,Radiopharmaceuticals ,Octreotide ,Radionuclide Imaging - Abstract
Neuroendocrine tumors (NETs) are a heterogeneous group of tumors that originate in endocrine tissues throughout the body. Though most are indolent, clinical outcomes vary greatly based on histologic differentiation and grade. Peptide receptor radionuclide therapy has emerged as a promising treatment for patients with locally advanced and/or metastatic disease refractory to standard of care treatment. The phase III NETTER-1 trial found that [
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- 2022
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35. Integrating Prostate-specific Antigen Kinetics into Contemporary Predictive Nomograms of Salvage Radiotherapy After Radical Prostatectomy
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M.C. Tom, Jianbo Li, Jason A. Efstathiou, Jason W.D. Hearn, Matthew C. Abramowitz, Kevin L. Stephans, Shree Agrawal, Jeff M. Michalski, Shauna R. Campbell, Tianming Gao, Alan Pollack, Daniel E. Spratt, and Rahul D. Tendulkar
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Male ,Biochemical recurrence ,medicine.medical_specialty ,Urology ,medicine.medical_treatment ,030232 urology & nephrology ,urologic and male genital diseases ,Androgen deprivation therapy ,03 medical and health sciences ,Prostate cancer ,0302 clinical medicine ,Prostate ,medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,Cumulative incidence ,Retrospective Studies ,Prostatectomy ,business.industry ,Prostatic Neoplasms ,Seminal Vesicles ,Androgen Antagonists ,Prostate-Specific Antigen ,Nomogram ,medicine.disease ,Kinetics ,Nomograms ,Prostate-specific antigen ,medicine.anatomical_structure ,Oncology ,030220 oncology & carcinogenesis ,Surgery ,Neoplasm Recurrence, Local ,business - Abstract
BACKGROUND Salvage radiotherapy (SRT) is an established treatment for men with biochemical recurrence following radical prostatectomy (RP). There are several risk factors associated with adverse outcomes; however, the value of postoperative prostate-specific antigen (PSA) kinetics is less clear in the ultrasensitive PSA era. OBJECTIVE To characterize the impact of PSA kinetics on outcomes following SRT and generate nomograms to aid in identifying patients with an increased risk of adverse clinical outcomes. DESIGN, SETTING, AND PARTICIPANTS A multi-institutional analysis was conducted of 1005 patients with prostate cancer treated with SRT after RP, with a median follow-up of 5 years. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS Variables examined include immediate postoperative PSA, postoperative PSA doubling time (DT), and pre-SRT PSA, in addition to previously identified predictive factors. Multivariable survival analyses were completed using Fine-Gray competing risk regression. Rates of biochemical failure (BF), distant metastasis (DM), and prostate cancer-specific mortality (PCSM) were estimated by the cumulative incidence method. Nomograms were generated from multivariable competing risk regression with bootstrap cross-validation. RESULTS AND LIMITATIONS Factors associated with BF after SRT include PSA DT
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- 2022
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36. Long-term outcomes of dose-escalated intensity modulated radiation therapy alone without androgen deprivation therapy for patients with intermediate and high-risk prostate cancer
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Rafael Gadia, MD, Elton Trigo Teixeira Leite, MD, Ana Luiza Bierrenbach, PhD, Fabio Ynoe de Moraes, MD, Daniel E. Spratt, MD, Fernando Freire Arruda, MD, Carlos Eduardo Cintra Vita Abreu, MD, Joao Luis Fernandes da Silva, MD, Heloisa de Andrade Carvalho, PhD, and Bernardo Garicochea, PhD
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Medical physics. Medical radiology. Nuclear medicine ,R895-920 ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Objective: The addition of androgen deprivation therapy (ADT) to conventional radiation therapy improves overall survival (OS) in intermediate- and high-risk prostate cancer. The benefit of ADT to added to dose-escalated radiotherapy is less clear. The aim of this study was to report disease control outcomes and to identify prognostic variables associated with favorable outcomes in patients with intermediate- and high-risk prostate cancer treated with dose-escalated radiation therapy without ADT. Methods and materials: From September 2001 to March 2010, 127 patients with intermediate- or high-risk prostate cancer were treated with dose-escalated radiation otherapy without ADT. Biochemical recurrence-free survival (bRFS), distant metastases-free survival (DMFS), prostate cancer–specific mortality, and OS were assessed. Univariate and multivariate analyses using Cox regression modeling were performed. Results: The median follow-up was 6.5 years, and the 5-year estimated bRFS, DMFS, prostate cancer–specific mortality, and OS for all patients was 89%, 96.1%, 98.4%, and 96.9% respectively. On multivariate analysis, factors that predict bRFS include risk group and PSA nadir, and factors that predict DMFS include perineural invasion, risk group, and PSA nadir. Conclusions: Patients with favorable intermediate-risk cancer could likely be treated with dose-escalated radiation therapy without ADT. Patients with high-risk and unfavorable intermediate-risk cancer, perineural invasion, and PSA nadir ≥1ng/dL had worse outcomes and likely need distinct therapeutic approaches.
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- 2016
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37. Quantitative Nodal Burden and Mortality Across Solid Cancers
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Anthony T Nguyen, Michael Luu, Vina P Nguyen, Diana J Lu, Stephen L Shiao, Mitchell Kamrava, Katelyn M Atkins, Alain C Mita, Kevin S Scher, Daniel E Spratt, Mark B Faries, Timothy J Daskivich, De-Chen Lin, Michelle M Chen, Jon Mallen-St Clair, Howard M Sandler, Allen S Ho, and Zachary S Zumsteg
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Cancer Research ,Oncology ,Lymphatic Metastasis ,Humans ,Reproducibility of Results ,Articles ,Lymph Nodes ,Prognosis ,Neoplasm Staging ,Retrospective Studies - Abstract
Background Nodal staging systems vary substantially across solid tumors, implying heterogeneity in the behavior of nodal variables in various contexts. We hypothesized, in contradiction to this, that metastatic lymph node (LN) number is a universal and dominant predictor of outcome across solid tumors. Methods We performed a retrospective cohort analysis of 1 304 498 patients in the National Cancer Database undergoing surgery between 2004 and 2015 across 16 solid cancer sites. Multivariable Cox regression analyses were constructed using restricted cubic splines to model the association between nodal number and mortality. Recursive partitioning analysis (RPA) was used to derive nodal classification systems for each solid cancer based on metastatic LN count. The reproducibility of these findings was assessed in 1 969 727 patients from the Surveillance, Epidemiology, and End Results registry. Two-sided tests were used for all statistical analyses. Results Consistently across disease sites, mortality risk increased continuously with increasing number of metastatic LNs (P Conclusions Quantitative metastatic LN burden is a fundamental driver of mortality across solid cancers and should serve as a foundation for pathologic nodal staging across solid tumors.
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- 2022
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38. Association Between Physician- and Patient-Reported Symptoms in Patients Treated With Definitive Radiation Therapy for Locally Advanced Lung Cancer in a Statewide Consortium
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T.P. Boike, Aleksandar F. Dragovic, Robert T. Dess, Derek Bergsma, Kimberly A. Hochstedler, Michael M. Dominello, Inga S. Grills, Lori J. Pierce, Martha M. Matuszak, Daniel E. Spratt, Reshma Jagsi, P.A. Paximadis, James A. Hayman, Benjamin Movsas, Shruti Jolly, J.R. Wilkie, and Matthew J. Schipper
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Cancer Research ,medicine.medical_specialty ,Lung Neoplasms ,medicine.medical_treatment ,Quality of life ,Physicians ,Internal medicine ,Patient experience ,medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,Patient Reported Outcome Measures ,Lung cancer ,Adverse effect ,Fatigue ,Pneumonitis ,Radiation ,business.industry ,medicine.disease ,humanities ,Radiation therapy ,Oncology ,Cohort ,Quality of Life ,business ,Esophagitis - Abstract
Introduction: Little data have been reported about the patient experience during curative radiotherapy for lung cancer in routine clinical practice, or how this relates to treatment toxicity reported by clinicians. The purpose of this study was to compare clinician-reported adverse events (AEs) with patient-reported outcomes (PROs) including both specific symptoms/side effects as well as overall quality of life (QOL) during and after definitive radiotherapy (RT) for locally advanced lung cancer (LALC) in a large statewide cohort. Methods and Materials: Patient-reported outcomes (PROs) were prospectively collected from patients treated with definitive radiotherapy for LALC at 24 institutions within the XXXX Radiation Oncology Quality Consortium between 2012-2018 using the Functional Assessment of Cancer Therapy Trial Outcome Index (FACT-TOI). Physicians prospectively recorded adverse events (AEs) using CTCAE version 4.0. Patient-reported quality of life (QOL) changes from baseline were assessed during and after radiotherapy using the FACT-TOI. Spearman correlation coefficients were calculated for AEs and similar PROs, and multivariable analysis was used to assess associations with QOL. Results: 1361 patients were included and 53% of respondents reported clinically meaningful declines in QOL at the end of RT. Correlation between clinician-reported esophagitis and patient-reported trouble swallowing was moderate (R=0.67) while correlations between clinician-reported pneumonitis and patient-reported shortness of breath (R=0.13) and cough (R=0.09) were weak. Clinician-reported AEs were significantly associated with clinically meaningful declines inpatient-reported QOL, with R=-0.46 for a summary AE-score. QOL was more strongly associated with fatigue (R=-0.41) than lung-specific AEs. Conclusions: AEs are associated with clinically meaningful declines in QOL during and after RT for LALC, but associations between AEs and QOL are only modest. This highlights the importance of PRO data, and future research should assess whether earlier detection of PRO changes could allow for interventions that reduce the frequency of treatment-related clinically meaningful declines in QOL.
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- 2022
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39. Genomic classifier performance in intermediate-risk prostate cancer: Results from NRG Oncology/RTOG 0126 randomized phase III trial
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Daniel E. Spratt, Vinnie Y.T. Liu, Jeff Michalski, Elai Davicioni, Alejandro Berlin, Jeff M. Simko, Jason A. Efstathiou, Phuoc T. Tran, Howard M. Sandler, William A. Hall, Darby JS Thompson, Matthew B. Parliament, Ian S. Dayes, Rohann Jonathan Mark Correa, John M. Robertson, Elizabeth M. Gore, Desiree E. Doncals, Eric Vigneault, Luis Souhami, Theodore G. Karrison, and Felix Y. Feng
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Cancer Research ,Radiation ,Oncology ,Radiology, Nuclear Medicine and imaging - Published
- 2023
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40. Artificial Intelligence Predictive Model for Hormone Therapy Use in Prostate Cancer
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Daniel E Spratt, Siyi Tang, Yilun Sun, Huei-Chung Huang, Emmalyn Chen, Osama Mohamad, Andrew J Armstrong, Jonathan D Tward, Paul L Nguyen, Joshua M Lang, Jingbin Zhang, Akinori Mitani, Jeffry P Simko, Sandy DeVries, Douwe van der Wal, Hans Pinckaers, Jedidiah M Monson, Holly A Campbell, James Wallace, Michelle J Ferguson, Jean-Paul Bahary, Edward M Schaeffer, NRG Prostate Cancer AI Consortium, Howard M Sandler, Phuoc T Tran, Joseph P Rodgers, Andre Esteva, Rikiya Yamashita, and Felix Y Feng
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Background Androgen deprivation therapy (ADT) with radiotherapy can benefit patients with localized prostate cancer. However, ADT can negatively impact quality of life and there remain no validated predictive models to guide its use. Methods Digital pathology image and clinical data from pre-treatment prostate tissue from 5,727 patients enrolled on five phase III randomized trials treated with radiotherapy +/- ADT were used to develop and validate an artificial intelligence (AI)-derived predictive model to assess ADT benefit with the primary endpoint of distant metastasis. After the model was locked, validation was performed on NRG/RTOG 9408 (n = 1,594) that randomized men to radiotherapy +/- 4 months of ADT. Fine-Gray regression and restricted mean survival times were used to assess the interaction between treatment and predictive model and within predictive model positive and negative subgroup treatment effects. Results In the NRG/RTOG 9408 validation cohort (14.9 years of median follow-up), ADT significantly improved time to distant metastasis (subdistribution hazard ratio [sHR] = 0.64, 95%CI [0.45–0.90], p = 0.01). The predictive model-treatment interaction was significant (p-interaction = 0.01). In predictive model positive patients (n = 543, 34%), ADT significantly reduced the risk of distant metastasis compared to radiotherapy alone (sHR = 0.34, 95%CI [0.19–0.63], p
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- 2023
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41. A novel prostate cancer subtyping classifier based on luminal and basal phenotypes
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Adam B. Weiner, Yang Liu, Alex Hakansson, Xin Zhao, James A. Proudfoot, Julian Ho, JJ H. Zhang, Eric V. Li, R. Jeffrey Karnes, Robert B. Den, Amar U. Kishan, Robert E. Reiter, Anis A. Hamid, Ashely E. Ross, Phuoc T. Tran, Elai Davicioni, Daniel E. Spratt, Gerhardt Attard, Tamara L. Lotan, Melvin Lee Kiang Chua, Christopher J. Sweeney, and Edward M. Schaeffer
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Cancer Research ,Oncology - Published
- 2023
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42. Supplementary Figure S1 from Androgen Receptor Signaling Regulates DNA Repair in Prostate Cancers
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Charles L. Sawyers, Simon N. Powell, Jayanta Chaudhuri, Maria Jasin, Michael J. Zelefsky, Peter T. Scardino, John Wongvipat, Haley Hieronymus, Anuradha Gopalan, Alexander G. Goglia, Sho Fujisawa, Neel P. Shah, Philip A. Watson, Yu Chen, Brett S. Carver, Deyou Zheng, Ling Cai, Wei-Feng Yen, Vivek K. Arora, Phillip J. Iaquinta, Daniel E. Spratt, Elizabeth M. Kass, Man X. Lee, Joel S. Parker, and William R. Polkinghorn
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Supplementary Figure S1 - PDF file 1194K, Gamma-H2AX foci and Comet assay normalized of LNCaP plus or minus androgen normalized to time 0
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- 2023
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43. Supplementary Table S2 from Androgen Receptor Signaling Regulates DNA Repair in Prostate Cancers
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Charles L. Sawyers, Simon N. Powell, Jayanta Chaudhuri, Maria Jasin, Michael J. Zelefsky, Peter T. Scardino, John Wongvipat, Haley Hieronymus, Anuradha Gopalan, Alexander G. Goglia, Sho Fujisawa, Neel P. Shah, Philip A. Watson, Yu Chen, Brett S. Carver, Deyou Zheng, Ling Cai, Wei-Feng Yen, Vivek K. Arora, Phillip J. Iaquinta, Daniel E. Spratt, Elizabeth M. Kass, Man X. Lee, Joel S. Parker, and William R. Polkinghorn
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Supplementary Table S2 - PDF file 250K, Defining AR-regulated DNA repair genes in LNCaP
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- 2023
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44. Supplementary Data and Methods from Expression of the Androgen Receptor Governs Radiation Resistance in a Subset of Glioblastomas Vulnerable to Antiandrogen Therapy
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Daniel R. Wahl, Roy E. Strowd, Theodore S. Lawrence, Corey Speers, Joel R. Eisner, Arul M. Chinnaiyan, Jann N. Sarkaria, Howard Colman, Daniel E. Spratt, Edwina Baskin-Bey, Sriram Venneti, Meredith A. Morgan, Alexander M. Hegedus, Waldemar Debinski, Tarik Bor, Carl Koschmann, Stefanie Stallard, Arvind Rao, Yangyang Yao, Weihua Zhou, Ayesha U. Kothari, Joseph Dresser, Kari Wilder-Romans, Hanshi Sun, Uchechi J. Nna, and Christian K. Werner
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Supplementary Figure S1: Additional expression data and comparisons of AR expression by subtype, age, sex, and common molecular alterations. Supplementary Figure S2. Tumor growth plots and mice weights for in vivo studies. Supplementary Figure S3: Heat map of down-regulated genes from the GBM 26 RNA-seq experiment. Supplementary Figure S4: Effects of seviteronel on dsDNA break repair in AR-positive and negative models post-radiation. Supplementary Figure S5: Effects of enzalutamide on dsDNA break repair in AR-positive and negative models post-radiation. Supplementary Figure S6. Effects of enzalutamide and seviteronel on alkaline tail moment in AR-positive models post-radiation. Method: alkaline comet assay.
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- 2023
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45. PD21-02 ASSESSING THE GENERALIZABILITY OF RANDOMIZED EVIDENCE BY COMPARING RESULTS FROM A CLINICAL TRIAL AND ESTABLISHED QUALITY IMPROVEMENT COLLABORATIVE: RESULTS FROM G-MINOR AND MUSIC
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Udit Singhal, Ralph Jiang, Daniel E. Spratt, Matthew Schipper, Simpa S. Salami, Stephanie Daignault-Newton, Rodney Dunn, Thomas J. Maatman, Brian R. Lane, Frank N. Burks, Paul Rodriguez, Eduardo Kleer, Richard Sarle, Felix Y. Feng, Michael L. Cher, Robert T. Dess, and Todd M. Morgan
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Urology - Published
- 2023
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46. A meta-analysis of the efficacy and safety of stereotactic arrhythmia radioablation (STAR) in patients with refractory ventricular tachycardia
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Gustavo A. Viani, Andre G. Gouveia, Juliana F. Pavoni, Alexander Vicent Louie, Jay Detsky, Daniel E. Spratt, and Fabio Y. Moraes
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Oncology ,Radiology, Nuclear Medicine and imaging - Published
- 2023
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47. Supplementary Tables from Clinical and Genomic Implications of Luminal and Basal Subtypes Across Carcinomas
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Felix Y. Feng, Eric J. Small, Christopher A. Maher, Paul L. Nguyen, Daniel E. Spratt, Shruti Jolly, Edwin M. Posadas, Linda R. Duska, Elai Davicioni, Yang Liu, Ewan A. Gibb, Brandon A. Mahal, Travis J. Barnard, Ha X. Dang, David A. Quigley, Jonathan Chou, Scott A. Tomlins, S. Laura Chang, Rajdeep Das, William S. Chen, and Shuang G. Zhao
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Supplemental Tables 1-7
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- 2023
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48. Supplementary Table S5 from BET Bromodomain Inhibition Blocks an AR-Repressed, E2F1-Activated Treatment-Emergent Neuroendocrine Prostate Cancer Lineage Plasticity Program
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Joshi J. Alumkal, Zheng Xia, Joel A. Yates, Eric Campeau, Sanjay Lakhotia, Sarah Attwell, Emily M. Gesner, Arvind Rao, Armand Bankhead, Daniel E. Spratt, Eric J. Small, Felix Y. Feng, Wassim Abida, Rahul Aggarwal, Jonathan Z. Sexton, Samuel K. Handelman, Eva Corey, Peter S. Nelson, Ilsa M. Coleman, Jared M. Lucas, Colm Morrissey, Mark P. Labrecque, Himisha Beltran, Chao Zhang, Jacob A. Schwartzman, Joshua A. Urrutia, Eva S. Rodansky, Anbarasu Kumaraswamy, Xiangnan Guan, David Sampson, Daniel J. Coleman, Chelsea Jenkins, Katherine Welker Leng, William K. Storck, Duanchen Sun, and Dae-Hwan Kim
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Supplementary Table S5 from BET Bromodomain Inhibition Blocks an AR-Repressed, E2F1-Activated Treatment-Emergent Neuroendocrine Prostate Cancer Lineage Plasticity Program
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- 2023
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49. Data from Clinical and Genomic Implications of Luminal and Basal Subtypes Across Carcinomas
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Felix Y. Feng, Eric J. Small, Christopher A. Maher, Paul L. Nguyen, Daniel E. Spratt, Shruti Jolly, Edwin M. Posadas, Linda R. Duska, Elai Davicioni, Yang Liu, Ewan A. Gibb, Brandon A. Mahal, Travis J. Barnard, Ha X. Dang, David A. Quigley, Jonathan Chou, Scott A. Tomlins, S. Laura Chang, Rajdeep Das, William S. Chen, and Shuang G. Zhao
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Purpose:Carcinomas originate from epithelial tissues, which have apical (luminal) and basal orientations. The degree of luminal versus basal differentiation in cancer has been shown to be biologically important in some carcinomas and impacts treatment response.Experimental Design:Although prior studies have focused on individual cancer types, we used a modified clinical-grade classifier (PAM50) to subtype 8,764 tumors across 22 different carcinomas into luminal A, luminal B, and basal-like tumors.Results:We found that all epithelial tumors demonstrated similar gene expression–based luminal/basal subtypes. As expected, basal-like tumors were associated with increased expression of the basal markers KRT5/6 and KRT14, and luminal-like tumors were associated with increased expression of the luminal markers KRT20. Luminal A tumors consistently had improved outcomes compared with basal across many tumor types, with luminal B tumors falling between the two. Basal tumors had the highest rates of TP53 and RB1 mutations and copy number loss. Luminal breast, cervical, ovarian, and endometrial tumors had increased ESR1 expression, and luminal prostate, breast, cervical, and bladder tumors had increased androgen receptor (AR) expression. Furthermore, luminal B tumors had the highest rates of AR and ESR1 mutations and had increased sensitivity in vitro to bicalutamide and tamoxifen. Luminal B tumors were more sensitive to gemcitabine, and basal tumors were more sensitive to docetaxel.Conclusions:This first pan-carcinoma luminal/basal subtyping across epithelial tumors reveals global similarities across carcinomas in the transcriptome, genome, clinical outcomes, and drug sensitivity, emphasizing the biological and translational importance of these luminal versus basal subtypes.
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- 2023
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50. Supplementary figures from Transcriptomic Heterogeneity of Androgen Receptor Activity Defines a de novo low AR-Active Subclass in Treatment Naïve Primary Prostate Cancer
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Edward M. Schaeffer, Arul M. Chinnaiyan, Tamara L. Lotan, Felix Y. Feng, Paul L. Nguyen, Robert B. Den, Ashley E. Ross, Elai Davicioni, Sheila Weinmann, R. Jeffery Karnes, Stephen J. Freedland, Adam P. Dicker, Todd M. Morgan, Corey Speers, Shuang G. Zhao, Yang Liu, Jonathan Lehrer, Brandon A. Mahal, Rohit Mehra, Adam B. Weiner, Nick Fishbane, Mohammed Alshalalfa, and Daniel E. Spratt
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supp figures
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- 2023
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