Combining causal and correlative approaches to discover biomarkers of response to paclitaxel
Journal
Oncotarget
ISSN
1949-2553
Publisher
Impact Journals
Date Issued
2024
Author(s)
Moscona-Nissan, Alberto
Habashy, Karl J.
Arrieta, Victor A.
Sonabend, Adam M.
Crismita Dmello
Type
text::journal::journal article
Abstract
We recently discovered a putative paclitaxel response predictive biomarker for glioblastoma and breast cancer using the whole genome CRISPR knockout screen. The biomarker candidate was validated in two independent breast cancer patient cohorts that received taxane treatment. To further evaluate the potential application of this biomarker in the clinic for patients with glioblastoma, a prospective validation in cohorts of patients with glioblastoma is essential and will be performed as part of our ongoing phase II clinical trial (NCT04528680). The validation of novel biomarkers of susceptibility to therapy is critical to elucidate the efficacy signal of therapeutic agents. This is especially important in the context of glioblastoma, where therapeutic benefit is variable and unpredictable, leading to negative trials, yet the outcome of subset of patients has outperformed expectations. ©Impact Journals
How to cite
Moscona-Nissan, A., Habashy, K. J., Arrieta, V. A., Sonabend, A. M., & Dmello, C. (2024). Combining causal and correlative approaches to discover biomarkers of response to paclitaxel. In Oncotarget (Vol. 15, Issue 1, pp. 117–122). Impact Journals, LLC. https://doi.org/10.18632/oncotarget.28549