St. Jude Survivorship Portal: Sharing and Analyzing Large Clinical and Genomic Datasets from Pediatric Cancer Survivors.
Gavriel Y MattEdgar SiosonKyla C SheltonJian WangCongyu LuAiren Zaldivar PerazaKarishma GangwaniRobin PaulColleen ReillyAleksandar AcićQi LiuStephanie R SandorClay McLeodJaimin PatelFan WangCindy ImZhaoming WangYadav SapkotaCarmen L WilsonNickhill H BhaktaKristen K NessGregory T ArmstrongMelissa M HudsonLeslie L RobisonJinghui ZhangYutaka YasuiXin ZhouPublished in: Cancer discovery (2024)
Childhood cancer survivorship studies generate comprehensive datasets comprising demographic, diagnosis, treatment, outcome, and genomic data from survivors. To broadly share this data, we created the St. Jude Survivorship Portal (https://survivorship.stjude.cloud), the first data portal for sharing, analyzing, and visualizing pediatric cancer survivorship data. More than 1,600 phenotypic variables and 400 million genetic variants from more than 7,700 childhood cancer survivors can be explored on this free, open-access portal. Summary statistics of variables are computed on-the-fly and visualized through interactive and customizable charts. Survivor cohorts can be customized and/or divided into groups for comparative analysis. Users can also seamlessly perform cumulative incidence and regression analyses on the stored survivorship data. Using the portal, we explored the ototoxic effects of platinum-based chemotherapy, uncovered a novel association between mental health, age, and limb amputation, and discovered a novel haplotype in MAGI3 strongly associated with cardiomyopathy specifically in survivors of African ancestry. Significance: The St. Jude Survivorship Portal is the first data portal designed to share and explore clinical and genetic data from childhood cancer survivors. The portal provides both open- and controlled-access features and will fulfill a wide range of data sharing needs of the survivorship research community and beyond. See co-corresponding author Xin Zhou discuss this research article, published simultaneously at the AACR Annual Meeting 2024: https://vimeo.com/932617204/7d99fa4958.
Keyphrases
- childhood cancer
- young adults
- electronic health record
- mental health
- big data
- healthcare
- heart failure
- randomized controlled trial
- systematic review
- magnetic resonance imaging
- social media
- radiation therapy
- genome wide
- magnetic resonance
- dna methylation
- artificial intelligence
- machine learning
- atrial fibrillation
- papillary thyroid
- lower limb