M. Mastri

Machine-learning and mechanistic modeling of primary and metastatic breast cancer growth after neoadjuvant targeted therapy

This paper develops a mathematical model and applies machine learning to predict neoadjuvant treatment response in breast cancer, finding limited predictive power of biomarkers for metastatic outcomes.

Syngeneic model of carcinogen-induced tumor mimics basal/squamous, stromal-rich, and neuroendocrine molecular and immunological features of muscle-invasive bladder cancer

This paper establishes syngeneic bladder cancer tumor lines that mimic human molecular and immunological features of muscle-invasive bladder cancer subtypes and test cisplatin response.

Glucocorticoid signaling delays castration-induced regression in murine models of prostate cancer

This study shows that glucocorticoid signaling delays castration-induced regression in murine prostate cancer models by maintaining tumor proliferation through GR activation, which can be blocked by the GR antagonist relacorilant.

Acquired resistance to PD-L1 inhibition is associated with an enhanced type I IFN-stimulated secretory program in tumor cells

This study identifies an IFN-stimulated secretory program in PD-L1-resistant tumors that promotes immune evasion and shows that targeting this program can inhibit tumor growth.

Patient derived models of bladder cancer amplify tumor specific gene expression compared to surgical specimen while maintaining gene expression of molecular subtype and epithelial mesenchymal transition markers

This study compares gene expression profiles of patient-derived models (PDMs) with surgical specimens of bladder cancer, finding PDXs most similar to original tumors while maintaining EMT and molecular subtype markers.

A reduced Gompertz model for predicting tumor age using a population approach

The paper develops a reduced Gompertz model to predict tumor age using a population approach and Bayesian inference, showing improved accuracy and precision compared to traditional methods.