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Biomedical subjects

Daniel Fernandez

Publications and source records attributed to Daniel Fernandez.

2 recordsLinked to original sources

A bivalent molecular glue linking lysine acetyltransferases to oncogene-induced cell death.

Developing cancer therapies that induce specific death of malignant cells is critical for preventing relapse. Highly effective strategies, such as immunotherapy, exemplify this principle. Here, we provide the mechanistic basis for a small-molecule approach that leverages chemically induced proximity (CIP) to kill diffuse large B cell lymphoma, the most common non-Hodgkin lymphoma. We developed lysine acetyltransferase (KAT)-based TCIPs (transcriptional/epigenetic chemical inducers of proximity), or KAT-TCIPs, which redirect p300/CREB-binding protein (CBP) to activate cell-death networks repressed by the oncogenic driver BCL6. Our lead KAT-TCIP reprograms the epigenome to initiate apoptosis. The crystal structure of the chemically induced p300-BCL6 complex reveals how chance protein-protein interactions may be exploited to confer the potency and selectivity of KAT-TCIPs. Thus, oncogenic drivers can be co-opted to activate robust cell death. Consistent with their gain-of-function mechanism, TCIPs recruiting different transcriptional activators-p300, BRD4, or CDK9-produce distinct genomic responses, suggesting specialized therapeutic uses.

Humans

A Prospective Validation of the Decipher Genomic Classifier in Men With Early Localized Prostate Cancer: The VANDAAM Study.

BACKGROUND: The emergence of genomic precision oncology has advanced personalized care for some patients with prostate cancer (PCa), while threatening to widen existing disparities due to the historically low recruitment of African American men (AAM), who have the highest disease burden. Here, we report the first prospective validation of a genomic classifier (GC) to predict rapid-onset biochemical recurrence (BCR) in AAM. METHODS: Between 2016 and 2021, this multicenter prospective validation study recruited 243 patients with low- or intermediate-risk PCa who received treatment for their disease. Patients were recruited on a 1:1 basis (AAM:White) and matched by CAPRA score. Patients who elected active surveillance were ineligible for participation. Decipher GC testing was ordered for all patients using their biopsy and/or radical prostatectomy (RP) tumor tissue. The primary outcome was to determine whether the GC could predict 2-year BCR rates-used as a surrogate for disease aggressiveness-following standard treatment. The secondary outcome evaluated the concordance between biopsy- and RP-derived GC risk scores for treatment recommendations. RESULTS: The final analytical cohort included 226 matched patients with genomic information, and 207 evaluable cases (104 AAM, 103 White) with both genomic and complete clinical outcome data. Overall, a high genomic-risk GC score was associated with a 5.25-fold increase in the odds of rapid-onset 2-year BCR compared with the low-risk group (odds ratio, 5.25 [95% CI, 1.27-21.66]; P=.021). In a subset of the surgical cohort (n=74), biopsy- and RP-derived GC scores exhibited a 77% concordance rate, defined as no reclassification in GC risk-based categories. CONCLUSIONS: This study represents the first prospective validation of GC performance in predicting early 2-year BCR in both AAM and White men. The findings provide strong evidence supporting the integration of the GC into clinical practice guidelines to improve risk stratification and management of AAM with early-stage PCa. CLINICALTRIALS: gov identifier: NCT02723734.

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