
Oncotarget
Combining Causal and Correlative Approaches to Discover Response Biomarkers to Paclitaxel
Feb 21, 2024
Researchers discuss the discovery of a potential predictive biomarker for paclitaxel response in glioblastoma and breast cancer. Validation in patient cohorts and ongoing clinical trials are crucial for personalized medicine. Exploring new biomarkers is essential for improving therapeutic efficacy in conditions with variable treatment responses such as glioblastoma.
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Quick takeaways
- Identification of potential predictive biomarker for Paclitaxel response in glioblastoma and breast cancer.
- Emphasis on precision medicine to improve treatment outcomes through validated biomarkers and personalized strategies.
Deep dives
Discovery of Predictive Biomarker for Glioblastoma and Breast Cancer
Researchers from various institutions recently identified a potential Pacla Taxil Response Predictive Biomarker for glioblastoma and breast cancer through a whole genome CRISPR knockout screen. This biomarker candidate was successfully validated in two independent breast cancer patient cohorts that underwent taxane treatment. The ongoing phase two clinical trial, NCTE428680, aims to prospectively validate this biomarker in patients with glioblastoma. Establishing novel biomarkers of susceptibility to therapy is vital for understanding the effectiveness of treatment agents, especially in conditions like glioblastoma.
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