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 WangPublished in: medRxiv : the preprint server for health sciences (2023)
Since Dec 2021, we have applied LFSPROShiny to over 100 families from counseling sessions at 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.