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Live Imaging to Study Microtubule Dynamic Instability in Taxane-resistant Breast Cancers
Published on: February 20, 2017
Predictive markers of tubulin-targeting agents in breast cancer
1Division of Hematology and Oncology, Denver Health Medical Center, University of Colorado, Denver, CO 80224, USA. shou-ching.tang@dhha.or
Abstract:
Microtubules are formed by an equal amount of alpha- and beta-tubulins through a dynamic process of polymerization and depolymerization that reaches equilibrium. Tubulin-targeting agents affect the microtubule function to disrupt cell shape, microvesicle transportation, and spindle formation. The use of tubulin-targeting agents, especially the newer agents such as taxanes, has significantly increased the response and even survival in patients with many cancers, including breast cancer. However, not all patients respond to these agents. Also, most patients develop recurrent or progressive disease, especially in the metastatic setting. The use of predictive markers of tubulin-targeting agents is therefore needed to increase the therapeutic ratio in the selected patient population. However, many clinical studies have failed to identify reliable and reproducible clinical or biologic markers that serve this purpose. Of the various markers examined, beta-tubulin III and its related proteins, such as tau, seem to predict the response to taxanes in preliminary clinical studies. However, most of these studies are limited by many factors such as small sample size, heterogeneous patient population, disease stages, and different methods in marker detection. None of these markers have been validated by large prospective clinical trials. Since tumor cells are driven by many signal transduction pathways, the study of the gene expression signature rather than a single gene is more likely to identify the ultimate predictive markers of response to tubulin-targeting agents. Gene expression profiling and proteomics are in preclinical development and in early clinical trials. They will eventually enable us to offer patients tailored chemotherapy with the tubulin-targeting agents. Before such predictive markers are available, these agents may be considered in patients with good performance status and aggressive tumors.
Insights
Predictive markers are needed for tubulin-targeting cancer agents like taxanes, as not all patients respond. Gene expression profiling shows promise for identifying patients who will benefit from this chemotherapy.
Area of Science:
- Oncology
- Cell Biology
- Pharmacology
Background:
- Microtubules, crucial for cell function, are targeted by agents like taxanes, improving cancer treatment outcomes.
- Despite efficacy, patient response to tubulin-targeting agents varies, necessitating predictive markers for personalized therapy.
- Current predictive markers show limited reliability, highlighting the need for advanced approaches.
Purpose of the Study:
- To review the current status of tubulin-targeting agents in cancer therapy.
- To discuss the limitations of existing predictive markers for treatment response.
- To explore novel strategies, such as gene expression profiling, for identifying predictive markers.
Main Methods:
- Literature review of tubulin-targeting agents and predictive marker studies.
- Analysis of preliminary clinical data on beta-tubulin III and tau as markers.
- Discussion of gene expression profiling and proteomics for future marker discovery.
Main Results:
- Tubulin-targeting agents, particularly taxanes, have improved cancer response and survival.
- Existing markers like beta-tubulin III have shown preliminary promise but lack validation.
- Gene expression signatures are proposed as more robust predictors of treatment response.
Conclusions:
- Reliable predictive markers are essential to optimize the use of tubulin-targeting agents in cancer.
- Gene expression profiling and proteomics represent promising avenues for developing personalized chemotherapy strategies.
- Until validated markers are available, tubulin-targeting agents should be considered for patients with good performance status and aggressive tumors.
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