Literature DB >> 29799999

Phase 3 Assessment of the Automated Bone Scan Index as a Prognostic Imaging Biomarker of Overall Survival in Men With Metastatic Castration-Resistant Prostate Cancer: A Secondary Analysis of a Randomized Clinical Trial.

Andrew J Armstrong1,2,3, Aseem Anand4,5, Lars Edenbrandt4,6, Eva Bondesson4, Anders Bjartell5, Anders Widmark7, Cora N Sternberg8,9, Roberto Pili10, Helen Tuvesson11, Örjan Nordle12, Michael A Carducci13, Michael J Morris14,15.   

Abstract

Importance: Prostate cancer commonly metastasizes to bone, and bone metastases are associated with pathologic fractures, pain, and reduced survival. Bone disease is routinely visualized using the technetium Tc 99m (99mTc) bone scan; however, the standard interpretation of bone scan data relies on subjective manual assessment of counting metastatic lesion numbers. There is an unmet need for an objective and fully quantitative assessment of bone scan data. Objective: To clinically assess in a prospectively defined analysis plan of a clinical trial the automated Bone Scan Index (aBSI) as an independent prognostic determinant of overall survival (OS) in men with metastatic castration-resistant prostate cancer (mCRPC). Design, Setting, and Participants: This investigation was a prospectively planned analysis of the aBSI in a phase 3 multicenter randomized, double-blind, placebo-controlled clinical trial of tasquinimod (10TASQ10). Men with bone metastatic chemotherapy-naïve CRPC were recruited at 241 sites in 37 countries between March 2011 and August 2015. The statistical analysis plan to clinically evaluate the aBSI was prospectively defined and locked before unmasking of the 10TASQ10 study. The analysis of aBSI was conducted between May 25, 2016, and June 3, 2017. Main Outcomes and Measures: The associations of baseline aBSI with OS, radiographic progression-free survival (rPFS), time to symptomatic progression, and time to opiate use for cancer pain.
Results: Of the total 1245 men enrolled, 721 were evaluable for the aBSI. The mean (SD) age (available for 719 men) was 70.6 (8.0) years (age range, 47-90 years). The aBSI population was representative of the total study population based on baseline characteristics. The aBSI (median, 1.07; range, 0-32.60) was significantly associated with OS (hazard ratio [HR], 1.20; 95% CI, 1.14-1.26; P < .001). The median OS by aBSI quartile (lowest to highest) was 34.7, 27.3, 21.7, and 13.3 months, respectively. The discriminative ability of the aBSI (C index, 0.63) in prognosticating OS was significantly higher than that of the manual lesion counting (C index, 0.60) (P = .03). In a multivariable survival model, a higher aBSI remained independently associated with OS (HR, 1.06; 95% CI, 1.01-1.11; P = .03). A higher aBSI was also independently associated with time to symptomatic progression (HR, 1.18; 95% CI, 1.13-1.23; P < .001) and time to opiate use for cancer pain (HR, 1.21; 95% CI, 1.14-1.30; P < .001). Conclusions and Relevance: To date, this investigation is the largest prospectively analyzed study to validate the aBSI as an independent prognostic imaging biomarker of survival in mCRPC. These data support the prognostic utility of the aBSI as an objective imaging biomarker in the design and eligibility of clinical trials of systemic therapies for patients with mCRPC. Trial Registration: ClinicalTrials.gov Identifier: NCT01234311.

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Year:  2018        PMID: 29799999      PMCID: PMC6145727          DOI: 10.1001/jamaoncol.2018.1093

Source DB:  PubMed          Journal:  JAMA Oncol        ISSN: 2374-2437            Impact factor:   31.777


  20 in total

1.  New Response Evaluation Criteria in Solid Tumors (RECIST) guidelines for advanced non-small cell lung cancer: comparison with original RECIST and impact on assessment of tumor response to targeted therapy.

Authors:  Mizuki Nishino; David M Jackman; Hiroto Hatabu; Beow Y Yeap; Leigh-Anne Cioffredi; Jeffrey T Yap; Pasi A Jänne; Bruce E Johnson; Annick D Van den Abbeele
Journal:  AJR Am J Roentgenol       Date:  2010-09       Impact factor: 3.959

2.  Analytic Validation of the Automated Bone Scan Index as an Imaging Biomarker to Standardize Quantitative Changes in Bone Scans of Patients with Metastatic Prostate Cancer.

Authors:  Aseem Anand; Michael J Morris; Reza Kaboteh; Lena Båth; May Sadik; Peter Gjertsson; Milan Lomsky; Lars Edenbrandt; David Minarik; Anders Bjartell
Journal:  J Nucl Med       Date:  2015-08-27       Impact factor: 10.057

3.  Updated prognostic model for predicting overall survival in first-line chemotherapy for patients with metastatic castration-resistant prostate cancer.

Authors:  Susan Halabi; Chen-Yen Lin; W Kevin Kelly; Karim S Fizazi; Judd W Moul; Ellen B Kaplan; Michael J Morris; Eric J Small
Journal:  J Clin Oncol       Date:  2014-01-21       Impact factor: 44.544

4.  On the C-statistics for evaluating overall adequacy of risk prediction procedures with censored survival data.

Authors:  Hajime Uno; Tianxi Cai; Michael J Pencina; Ralph B D'Agostino; L J Wei
Journal:  Stat Med       Date:  2011-01-13       Impact factor: 2.373

5.  Prediction of survival benefit using an automated bone scan index in patients with castration-resistant prostate cancer.

Authors:  Yozo Mitsui; Hiroaki Shiina; Yasushi Yamamoto; Masuo Haramoto; Naoko Arichi; Hiroaki Yasumoto; Hajime Kitagaki; Mikio Igawa
Journal:  BJU Int       Date:  2012-07-12       Impact factor: 5.588

6.  A Preanalytic Validation Study of Automated Bone Scan Index: Effect on Accuracy and Reproducibility Due to the Procedural Variabilities in Bone Scan Image Acquisition.

Authors:  Aseem Anand; Michael J Morris; Reza Kaboteh; Mariana Reza; Elin Trägårdh; Naofumi Matsunaga; Lars Edenbrandt; Anders Bjartell; Steven M Larson; David Minarik
Journal:  J Nucl Med       Date:  2016-07-21       Impact factor: 10.057

7.  A contemporary prognostic nomogram for men with hormone-refractory metastatic prostate cancer: a TAX327 study analysis.

Authors:  Andrew J Armstrong; Elizabeth S Garrett-Mayer; Yi-Chun Ou Yang; Ronald de Wit; Ian F Tannock; Mario Eisenberger
Journal:  Clin Cancer Res       Date:  2007-11-01       Impact factor: 12.531

8.  Randomized, Double-Blind, Placebo-Controlled Phase III Study of Tasquinimod in Men With Metastatic Castration-Resistant Prostate Cancer.

Authors:  Cora Sternberg; Andrew Armstrong; Roberto Pili; Siobhan Ng; Robert Huddart; Neeraj Agarwal; Denis Khvorostenko; Olexiy Lyulko; Arija Brize; Nicholas Vogelzang; Rémy Delva; Mihai Harza; Anastasios Thanos; Nicholas James; Patrick Werbrouck; Martin Bögemann; Thomas Hutson; Piotr Milecki; Simon Chowdhury; Enrique Gallardo; Gilberto Schwartsmann; Jean-Christophe Pouget; Frédérique Baton; Thore Nederman; Helen Tuvesson; Michael Carducci
Journal:  J Clin Oncol       Date:  2016-06-13       Impact factor: 44.544

9.  A new parameter for measuring metastatic bone involvement by prostate cancer: the Bone Scan Index.

Authors:  M Imbriaco; S M Larson; H W Yeung; O R Mawlawi; Y Erdi; E S Venkatraman; H I Scher
Journal:  Clin Cancer Res       Date:  1998-07       Impact factor: 12.531

10.  Bone Scan Index as an Imaging Biomarker in Metastatic Castration-resistant Prostate Cancer: A Multicentre Study Based on Patients Treated with Abiraterone Acetate (Zytiga) in Clinical Practice.

Authors:  Mariana Reza; Mattias Ohlsson; Reza Kaboteh; Aseem Anand; Ingela Franck-Lissbrant; Jan-Erik Damber; Anders Widmark; Camilla Thellenberg-Karlsson; Lars Budäus; Thomas Steuber; Till Eichenauer; Per Wollmer; Lars Edenbrandt; Elin Trägårdh; Anders Bjartell
Journal:  Eur Urol Focus       Date:  2016-03-09
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  19 in total

Review 1.  Multimodality Imaging of Prostate Cancer.

Authors:  Soleen Ghafoor; Irene A Burger; Alberto H Vargas
Journal:  J Nucl Med       Date:  2019-09-03       Impact factor: 10.057

2.  A novel tool for improving the interpretation of isotope bone scans in metastatic prostate cancer.

Authors:  Ali H D Alshehri; Sarah O S Osman; Kevin M Prise; Caoimhghin Campfield; P G Turner; Suneil Frcr PhD Jain; Joe M O'Sullivan; Aidan J Cole
Journal:  Br J Radiol       Date:  2020-09-03       Impact factor: 3.039

3.  Correlation Between Imaging-Based Intermediate Endpoints and Overall Survival in Men With Metastatic Castration-Resistant Prostate Cancer: Analysis of 28 Randomized Trials Using the Prostate Cancer Clinical Trials Working Group (PCWG2) Criteria in 16,511 Patients.

Authors:  Sungmin Woo; Chong Hyun Suh; Andreas G Wibmer; Anton S Becker; Min Yuen Teo; Mithat Gönen; Hedvig Hricak; Howard I Scher; Michael J Morris; Hebert Alberto Vargas
Journal:  Clin Genitourin Cancer       Date:  2021-11-15       Impact factor: 2.872

Review 4.  Guiding management of therapy in prostate cancer: time to switch from conventional imaging to PSMA PET?

Authors:  Ramin Alipour; Arun Azad; Michael S Hofman
Journal:  Ther Adv Med Oncol       Date:  2019-09-20       Impact factor: 8.168

Review 5.  From papyrus leaves to bioprinting and virtual reality: history and innovation in anatomy.

Authors:  Bharti Bisht; Ashley Hope; Manash K Paul
Journal:  Anat Cell Biol       Date:  2019-08-26

6.  Global disease score (GDS) is the name of the game!

Authors:  Poul F Høilund-Carlsen; Lars Edenbrandt; Abass Alavi
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-06-10       Impact factor: 9.236

7.  Population-Based Analysis Of The Use Of Radium-223 For Bone-Metastatic Castration-Resistant Prostate Cancer In Ontario, And Of Factors Associated With Treatment Completion And Outcome.

Authors:  Sierra Cheng; Vanessa Arciero; Hanan Goldberg; Camilla Tajzler; Aileen Manganaro; Natascha Kozlowski; Leigha Rowbottom; Rachel McDonald; Ronald Chow; Gaurav Vasisht; Sharon Shaji; Emily Chu Lee Wong; Michele Petrovic; Liying Zhang; Cameron Phillips; Pawel Zalewski; Anil Kapoor; Neil E Fleshner; Edward Chow; Urban Emmenegger
Journal:  Cancer Manag Res       Date:  2019-10-31       Impact factor: 3.989

8.  High-intensity sequencing reveals the sources of plasma circulating cell-free DNA variants.

Authors:  Pedram Razavi; Bob T Li; David N Brown; Byoungsok Jung; Earl Hubbell; Ronglai Shen; Wassim Abida; Krishna Juluru; Ino De Bruijn; Chenlu Hou; Oliver Venn; Raymond Lim; Aseem Anand; Tara Maddala; Sante Gnerre; Ravi Vijaya Satya; Qinwen Liu; Ling Shen; Nicholas Eattock; Jeanne Yue; Alexander W Blocker; Mark Lee; Amy Sehnert; Hui Xu; Megan P Hall; Angie Santiago-Zayas; William F Novotny; James M Isbell; Valerie W Rusch; George Plitas; Alexandra S Heerdt; Marc Ladanyi; David M Hyman; David R Jones; Monica Morrow; Gregory J Riely; Howard I Scher; Charles M Rudin; Mark E Robson; Luis A Diaz; David B Solit; Alexander M Aravanis; Jorge S Reis-Filho
Journal:  Nat Med       Date:  2019-11-25       Impact factor: 53.440

Review 9.  Does quantification have a role to play in the future of bone SPECT?

Authors:  James C Ross; Dijana Vilić; Tom Sanderson; Stefan Vöö; John Dickson
Journal:  Eur J Hybrid Imaging       Date:  2019-05-03

10.  Single Cell RNA Sequencing Identifies a Unique Inflammatory Macrophage Subset as a Druggable Target for Alleviating Acute Kidney Injury.

Authors:  Weijian Yao; Ying Chen; Zehua Li; Jing Ji; Abin You; Shanzhao Jin; Yuan Ma; Youlu Zhao; Jinwei Wang; Lei Qu; Hui Wang; Chengang Xiang; Suxia Wang; Gang Liu; Fan Bai; Li Yang
Journal:  Adv Sci (Weinh)       Date:  2022-02-03       Impact factor: 17.521

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