Kawther Abdilleh, Omar Khalid, Dennis Ladnier, Wenshuai Wan, Sara Seepo, Garrett Rupp, Valentin Corelj, Zelia F Worman, Divya Sain, Jack DiGiovanna, Bruce Press, Satty Chandrashekhar, Eric Collisson, Karen Y Cui, Anirban Maitra, Paul A Rejto, Kevin P White, Lynn Matrisian, Sudheer Doss
{"title":"胰腺癌行动网络的 SPARK:基于云的胰腺癌患者健康数据和分析平台。","authors":"Kawther Abdilleh, Omar Khalid, Dennis Ladnier, Wenshuai Wan, Sara Seepo, Garrett Rupp, Valentin Corelj, Zelia F Worman, Divya Sain, Jack DiGiovanna, Bruce Press, Satty Chandrashekhar, Eric Collisson, Karen Y Cui, Anirban Maitra, Paul A Rejto, Kevin P White, Lynn Matrisian, Sudheer Doss","doi":"10.1200/CCI.23.00119","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>Pancreatic cancer currently holds the position of third deadliest cancer in the United States and the 5-year survival rate is among the lowest for major cancers at just 12%. Thus, continued research efforts to better understand the clinical and molecular underpinnings of pancreatic cancer are critical to developing both early detection methodologies as well as improved therapeutic options. This study introduces Pancreatic Cancer Action Network's (PanCAN's) SPARK, a cloud-based data and analytics platform that integrates patient health data from the PanCAN's research initiatives and aims to accelerate pancreatic cancer research by making real-world patient health data and analysis tools easier to access and use.</p><p><strong>Materials and methods: </strong>The SPARK platform integrates clinical, molecular, multiomic, imaging, and patient-reported data generated from PanCAN's research initiatives. The platform is built on a cloud-based infrastructure powered by Velsera. Cohort exploration and browser capabilities are built using Velsera ARIA, a specialized product for leveraging clinicogenomic data to build cohorts, query variant information, and drive downstream association analyses. Data science and analytic capabilities are also built into the platform allowing researchers to perform simple to complex analysis.</p><p><strong>Results: </strong>Version 1 of the SPARK platform was released to pilot users, who represented diverse end users, including molecular biologists, clinicians, and bioinformaticians. Included in the pilot release of SPARK are deidentified clinical (including treatment and outcomes data), molecular, multiomic, and whole-slide pathology images for over 600 patients enrolled in PanCAN's Know Your Tumor molecular profiling service.</p><p><strong>Conclusion: </strong>The pilot release of the SPARK platform introduces qualified researchers to PanCAN real-world patient health data and analytical resources in a centralized location.</p>","PeriodicalId":51626,"journal":{"name":"JCO Clinical Cancer Informatics","volume":null,"pages":null},"PeriodicalIF":3.3000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10803046/pdf/","citationCount":"0","resultStr":"{\"title\":\"Pancreatic Cancer Action Network's SPARK: A Cloud-Based Patient Health Data and Analytics Platform for Pancreatic Cancer.\",\"authors\":\"Kawther Abdilleh, Omar Khalid, Dennis Ladnier, Wenshuai Wan, Sara Seepo, Garrett Rupp, Valentin Corelj, Zelia F Worman, Divya Sain, Jack DiGiovanna, Bruce Press, Satty Chandrashekhar, Eric Collisson, Karen Y Cui, Anirban Maitra, Paul A Rejto, Kevin P White, Lynn Matrisian, Sudheer Doss\",\"doi\":\"10.1200/CCI.23.00119\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>Pancreatic cancer currently holds the position of third deadliest cancer in the United States and the 5-year survival rate is among the lowest for major cancers at just 12%. 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Cohort exploration and browser capabilities are built using Velsera ARIA, a specialized product for leveraging clinicogenomic data to build cohorts, query variant information, and drive downstream association analyses. Data science and analytic capabilities are also built into the platform allowing researchers to perform simple to complex analysis.</p><p><strong>Results: </strong>Version 1 of the SPARK platform was released to pilot users, who represented diverse end users, including molecular biologists, clinicians, and bioinformaticians. 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引用次数: 0
摘要
目的:胰腺癌目前是美国第三大致命癌症,5 年生存率在主要癌症中最低,仅为 12%。因此,继续开展研究以更好地了解胰腺癌的临床和分子基础,对于开发早期检测方法和改进治疗方案至关重要。本研究介绍了胰腺癌行动网络(Pancreatic Cancer Action Network,PanCAN)的SPARK,这是一个基于云的数据和分析平台,整合了来自PanCAN研究计划的患者健康数据,旨在通过使真实世界的患者健康数据和分析工具更易于访问和使用来加速胰腺癌研究:SPARK平台整合了PanCAN研究计划中生成的临床、分子、多组学、成像和患者报告数据。该平台建立在由Velsera提供支持的云基础设施之上。队列探索和浏览器功能是利用Velsera ARIA构建的,Velsera ARIA是利用临床基因组数据构建队列、查询变异信息和推动下游关联分析的专用产品。该平台还内置了数据科学和分析功能,使研究人员能够进行从简单到复杂的分析:SPARK平台第一版已向试点用户发布,试点用户代表了不同的终端用户,包括分子生物学家、临床医生和生物信息学家。SPARK的试用版中包含了PanCAN "了解你的肿瘤 "分子图谱分析服务中600多名患者的去标识化临床(包括治疗和结果数据)、分子、多组学和全切片病理图像:SPARK平台的试发布将合格的研究人员引入到PanCAN真实世界患者健康数据和分析资源的集中位置。
Pancreatic Cancer Action Network's SPARK: A Cloud-Based Patient Health Data and Analytics Platform for Pancreatic Cancer.
Purpose: Pancreatic cancer currently holds the position of third deadliest cancer in the United States and the 5-year survival rate is among the lowest for major cancers at just 12%. Thus, continued research efforts to better understand the clinical and molecular underpinnings of pancreatic cancer are critical to developing both early detection methodologies as well as improved therapeutic options. This study introduces Pancreatic Cancer Action Network's (PanCAN's) SPARK, a cloud-based data and analytics platform that integrates patient health data from the PanCAN's research initiatives and aims to accelerate pancreatic cancer research by making real-world patient health data and analysis tools easier to access and use.
Materials and methods: The SPARK platform integrates clinical, molecular, multiomic, imaging, and patient-reported data generated from PanCAN's research initiatives. The platform is built on a cloud-based infrastructure powered by Velsera. Cohort exploration and browser capabilities are built using Velsera ARIA, a specialized product for leveraging clinicogenomic data to build cohorts, query variant information, and drive downstream association analyses. Data science and analytic capabilities are also built into the platform allowing researchers to perform simple to complex analysis.
Results: Version 1 of the SPARK platform was released to pilot users, who represented diverse end users, including molecular biologists, clinicians, and bioinformaticians. Included in the pilot release of SPARK are deidentified clinical (including treatment and outcomes data), molecular, multiomic, and whole-slide pathology images for over 600 patients enrolled in PanCAN's Know Your Tumor molecular profiling service.
Conclusion: The pilot release of the SPARK platform introduces qualified researchers to PanCAN real-world patient health data and analytical resources in a centralized location.