Rhabdomyosarcoma

SX Skapek, A Ferrari, AA Gupta, PJ Lupo… - Nature reviews disease …, 2019 - nature.com
Rhabdomyosarcoma (RMS) is the most common soft tissue sarcoma in children and
represents a high-grade neoplasm of skeletal myoblast-like cells. Decades of clinical and …

Tailoring therapy for children with neuroblastoma on the basis of risk group classification: past, present, and future

WH Liang, SM Federico, WB London… - JCO Clinical Cancer …, 2020 - ascopubs.org
For children with neuroblastoma, the likelihood of cure varies widely according to age at
diagnosis, disease stage, and tumor biology. Treatments are tailored for children with this …

Pediatric cancer data commons: Federating and democratizing data for childhood cancer research

A Plana, B Furner, M Palese, N Dussault… - JCO Clinical Cancer …, 2021 - ascopubs.org
The international pediatric oncology community has a long history of research collaboration.
In the United States, the 2019 launch of the Children's Cancer Data Initiative puts the focus …

Streamlining data-intensive biology with workflow systems

T Reiter, PT Brooks, L Irber, SEK Joslin, CM Reid… - …, 2021 - academic.oup.com
As the scale of biological data generation has increased, the bottleneck of research has
shifted from data generation to analysis. Researchers commonly need to build …

From biomedical cloud platforms to microservices: Next steps in FAIR data and analysis

NC Sheffield, VR Bonazzi, PE Bourne, T Burdett… - Scientific Data, 2022 - nature.com
The biomedical research community is investing heavily in biomedical cloud platforms.
Cloud computing holds great promise for addressing challenges with big data and ensuring …

Data lakes, clouds, and commons: a review of platforms for analyzing and sharing genomic data

RL Grossman - Trends in Genetics, 2019 - cell.com
Data commons collate data with cloud computing infrastructure and commonly used
software services, tools, and applications to create biomedical resources for the large-scale …

[HTML][HTML] Immunogenomic determinants of tumor microenvironment correlate with superior survival in high-risk neuroblastoma

R Bao, S Spranger, K Hernandez, Y Zha… - … for Immunotherapy of …, 2021 - ncbi.nlm.nih.gov
Background Tumor-infiltrating CD8+ T cells and neoantigens are predictors of a favorable
prognosis and response to immunotherapy with checkpoint inhibitors in many types of adult …

Applications of artificial intelligence in pediatric oncology: a systematic review

S Ramesh, S Chokkara, T Shen, A Major… - JCO Clinical Cancer …, 2021 - ascopubs.org
PURPOSE There is a need for an improved understanding of clinical and biologic risk
factors in pediatric cancer to improve patient outcomes. Machine learning (ML) represents …

Using big data in pediatric oncology: Current applications and future directions

A Major, SM Cox, SL Volchenboum - Seminars in Oncology, 2020 - Elsevier
Pediatric cancer is a rare disease with a low annual incidence, which presents a significant
challenge in being able to collect enough data to fuel clinical discoveries. Big data registry …

PEPhub: a database, web interface, and API for editing, sharing, and validating biological sample metadata

NJ LeRoy, O Khoroshevskyi, A O'Brien, R Stępień… - …, 2024 - academic.oup.com
Background As biological data increase, we need additional infrastructure to share them
and promote interoperability. While major effort has been put into sharing data, relatively …