scholarly journals 1617P Sustained cancer clinical trial activity during the COVID-19 pandemic

2021 ◽  
Vol 32 ◽  
pp. S1151
Author(s):  
A. Bayle ◽  
C. Baldini ◽  
P. Martin Romano ◽  
J-M. Michot ◽  
S. Champiat ◽  
...  
Cancer Cell ◽  
2021 ◽  
Author(s):  
Arnaud Bayle ◽  
Capucine Baldini ◽  
Patricia Martin-Romano ◽  
Jean-Marie Michot ◽  
Stéphane Champiat ◽  
...  

SAGE Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 215824402110163
Author(s):  
Tariq H. Malik ◽  
Chunhui Huo

Result disclosure of clinical trial posts a conflicting logic between private secrecy and public interest. Despite ethical and legal requirements for disclosing clinical trial results, clinical trials’ sponsors tend to withhold the results. We explored the location, timing, and rationale behind the withheld clinical trial results. Based on the entrepreneurial orientation (EO) perspective, we propose that organizational EO contingencies moderate the disclosure decision. We used the completed clinical trial projects in China by foreign and domestic sponsors. First, we found that a unit increase in the sponsor’s experience can increase the disclosure about 1.01 times. Second, we found that industrial enterprises disclose results about 3.7 times more than universities do. Third, we found that foreign clinical trial projects in China tend to disclose 3.9 times more than domestic projects. We link these findings to two types of audience. First, we inform the academic community on the theory and empirics regarding risk-taking behavior in the biopharmaceutical industry’s clinical trial activity. Second, we address the general audiences concerned about the ethical and socioeconomic wellbeing of the public.


2014 ◽  
Vol 132 (1) ◽  
pp. 8-17 ◽  
Author(s):  
Thomas J. Herzog ◽  
Deborah K. Armstrong ◽  
Mark F. Brady ◽  
Robert L. Coleman ◽  
Mark H. Einstein ◽  
...  

2021 ◽  
pp. 826-832
Author(s):  
Jay G. Ronquillo ◽  
William T. Lester

PURPOSE Cloud computing has led to dramatic growth in the volume, variety, and velocity of cancer data. However, cloud platforms and services present new challenges for cancer research, particularly in understanding the practical tradeoffs between cloud performance, cost, and complexity. The goal of this study was to describe the practical challenges when using a cloud-based service to improve the cancer clinical trial matching process. METHODS We collected information for all interventional cancer clinical trials from ClinicalTrials.gov and used the Google Cloud Healthcare Natural Language Application Programming Interface (API) to analyze clinical trial Title and Eligibility Criteria text. An informatics pipeline leveraging interoperability standards summarized the distribution of cancer clinical trials, genes, laboratory tests, and medications extracted from cloud-based entity analysis. RESULTS There were a total of 38,851 cancer-related clinical trials found in this study, with the distribution of cancer categories extracted from Title text significantly different than in ClinicalTrials.gov ( P < .001). Cloud-based entity analysis of clinical trial criteria identified a total of 949 genes, 1,782 laboratory tests, 2,086 medications, and 4,902 National Cancer Institute Thesaurus terms, with estimated detection accuracies ranging from 12.8% to 89.9%. A total of 77,702 API calls processed an estimated 167,179 text records, which took a total of 1,979 processing-minutes (33.0 processing-hours), or approximately 1.5 seconds per API call. CONCLUSION Current general-purpose cloud health care tools—like the Google service in this study—should not be used for automated clinical trial matching unless they can perform effective extraction and classification of the clinical, genetic, and medication concepts central to precision oncology research. A strong understanding of the practical aspects of cloud computing will help researchers effectively navigate the vast data ecosystems in cancer research.


Cancer ◽  
2017 ◽  
Vol 123 (15) ◽  
pp. 2893-2900 ◽  
Author(s):  
Christine B. Mackay ◽  
Kaitlyn R. Antonelli ◽  
Suanna S. Bruinooge ◽  
Jarron M. Saint Onge ◽  
Shellie D. Ellis

2018 ◽  
Vol 23 (5) ◽  
pp. 1135-1146
Author(s):  
Ana P. Ortiz ◽  
Mark Machin ◽  
Marievelisse Soto-Salgado ◽  
Hilmaris Centeno-Girona ◽  
Darilyn Rivera-Collazo ◽  
...  

Author(s):  
Christine Rose Ackerley

Our dear colleague, Dung Ha, will defend her MA dissertation on Monday, April 10, 2017, at Harbor Center Room 1315 (10:00 am – 12:00 pm). Here is the abstract of her dissertation “Spaces of convergence of genomics in a cancer clinical trial: A survey examining genomic literacy among medical oncologists in British Columbia.”


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