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LFSPROShiny: An Interactive R/Shiny App for Prediction and Visualization of Cancer Risks in Families With Deleterious Germline TP53 Mutations.

Nam H NguyenElissa B Dodd-EatonGang PengJessica L CorredorWenwei JiaoJacynda Woodman-RossBanu K ArunWenyi Wang
Published in: JCO clinical cancer informatics (2024)
Since December 2021, we have applied LFSPROShiny to over 100 families from counseling sessions at the MD Anderson Cancer Center. Our study suggests that software tools with easy-to-use interfaces are crucial for the dissemination of risk prediction models in clinical settings, hence serving as a guideline for future development of similar models.
Keyphrases
  • papillary thyroid
  • squamous cell
  • squamous cell carcinoma
  • oxidative stress
  • risk assessment
  • human health
  • smoking cessation
  • climate change
  • hiv testing
  • data analysis
  • antiretroviral therapy