Interactive Use of Cox Model–Predicted Survival Curves: An Application Using ACS10 Score and Age to Personalize Treatment of Pediatric AML
Using shinyCox, we generated visualization applications that let us identify complex relationships between the ACS10 score, age, and the predicted OS and EFS probabilities after AML therapy. This article shows how shinyCox will facilitate model interpretation and accelerate the development of personalized therapies in oncology.
Authors
- Jatinder K. Lamba (ORCID: https://orcid.org/0000-0003-0411-0007)
- Subodh Selukar (ORCID: https://orcid.org/0000-0002-3802-488X)
- Stanley Pounds (ORCID: https://orcid.org/0000-0002-9167-2114)
- Anna Eames Seffernick (ORCID: https://orcid.org/0000-0003-0848-4604)
- Tushar Patni (ORCID: https://orcid.org/0000-0003-1605-7207)
- Hiroto Inaba (ORCID: https://orcid.org/0000-0003-0605-7342)
- Yonghui Ni (ORCID: https://orcid.org/0000-0002-1127-1004)
- Raul Correa Ribeiro (ORCID: https://orcid.org/0000-0002-9956-5647)
- Huiyun Wu (ORCID: https://orcid.org/0000-0003-2728-4608)
- Harrison Clement
- Yimei Li (ORCID: https://orcid.org/0000-0002-7046-4316)
Institutions
- St. Jude Children's Research Hospital (US)
- University of Florida (US)
Publication Details
- Journal
- JCO Precision Oncology
- Published
- 2025-10-01
- DOI
- https://doi.org/10.1200/po-25-00634
- Primary Topic
- Acute Myeloid Leukemia Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00