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. 1. Division of Medical Oncology, Department of Medicine, Duke Cancer Institute, Duke University, Durham, North Carolina. 2. Division of Urology, Department of Surgery, Duke Cancer Institute, Duke University, Durham, North Carolina. 3. Department of Pharmacology and Cancer Biology, Duke Cancer Institute, Duke University, Durham, North Carolina. 4. EXINI Diagnostics AB, Lund, Sweden. 5. Division of Urological Cancers, Department of Translational Medicine, Lund University, Malmö, Sweden. 6. Department of Nuclear Medicine, Sahlgrenska University Hospital, Gothenburg, Sweden. 7. Umeå University, Umeå, Sweden. 8. San Camillo Hospital, Rome, Italy. 9. Forlanini Hospital, Rome, Italy. 10. Indiana University School of Medicine, Indianapolis. 11. Active Biotech AB, Lund, Sweden. 12. Nordle Biostatistical Consultancy, Rydebäck, Sweden. 13. The John Hopkins University School of Medicine, Baltimore, Maryland. 14. Memorial Sloan Kettering Cancer Center, New York, New York. 15. Weill Cornell Medicine, New York, New York.
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.
RCT Entities:
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.
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
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
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
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
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
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
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
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
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