Publications by authors named "Ping-Yao Luo"
Survival is one of the foremost endpoints in cancer therapy, and parametric survival analysis could comprehensively demonstrate the overall result of various different baseline and longitudinal factors. In this study, the survival of triple negative breast cancer 4T1 tumor-bearing mice treated by gemcitabine (GEM) and dexamethasone (DEX) was investigated with model-based analysis. The tumor size, lymphocyte (LY) and neutrophil (NE) of 4T1 tumor-bearing BALB/c mice were collected, and the PK/PD models of these longitudinal data were established in a sequential manner, respectively.
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- * Researchers developed a sophisticated time-to-event model by analyzing data from 158 patients undergoing standard chemotherapy, focusing on factors like tumor size, serum albumin levels, and body weight over time.
- * The study found that changes in serum albumin and body weight at the 9th week of chemotherapy, along with baseline CA19-9 levels, significantly affected overall survival, suggesting that proper nutritional support could enhance patient outcomes.