Phosphoproteomic analysis of neoadjuvant breast cancer suggests that increased sensitivity to paclitaxel is driven by CDK4 and filamin A
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Published on: May 14, 2016
S Mouron1, M J Bueno1, A Lluch2
1Breast Cancer Clinical Research Unit Centro Nacional de Investigaciones Oncológicas - CNIO, Madrid, Spain.
Abstract:
Precision oncology research is challenging outside the contexts of oncogenic addiction and/or targeted therapies. We previously showed that phosphoproteomics is a powerful approach to reveal patient subsets of interest characterized by the activity of a few kinases where the underlying genomics is complex. Here, we conduct a phosphoproteomic screening of samples from HER2-negative female breast cancer receiving neoadjuvant paclitaxel (N = 130), aiming to find candidate biomarkers of paclitaxel sensitivity. Filtering 11 candidate biomarkers through 2 independent patient sets (N = 218) allowed the identification of a subgroup of patients characterized by high levels of CDK4 and filamin-A who had a 90% chance of achieving a pCR in response to paclitaxel. Mechanistically, CDK4 regulates filamin-A transcription, which in turn forms a complex with tubulin and CLIP-170, which elicits increased binding of paclitaxel to microtubules, microtubule acetylation and stabilization, and mitotic catastrophe. Thus, phosphoproteomics allows the identification of explainable factors for predicting response to paclitaxel.
Insights
Phosphoproteomics identified CDK4 and filamin-A as biomarkers predicting paclitaxel sensitivity in HER2-negative breast cancer patients. This discovery offers a new way to personalize cancer therapy for better outcomes.
Area of Science:
- Oncology
- Molecular Biology
- Biochemistry
Background:
- Precision oncology faces challenges in complex genomic cases.
- Phosphoproteomics can identify patient subsets based on kinase activity.
- Identifying predictive biomarkers for neoadjuvant chemotherapy is crucial.
Purpose of the Study:
- To identify candidate biomarkers for paclitaxel sensitivity in HER2-negative breast cancer.
- To validate identified biomarkers in independent patient cohorts.
- To elucidate the mechanism underlying paclitaxel response.
Main Methods:
- Phosphoproteomic screening of 130 HER2-negative breast cancer patients receiving neoadjuvant paclitaxel.
- Validation of 11 candidate biomarkers in 2 independent patient sets (N=218).
- Mechanistic studies involving CDK4, filamin-A, tubulin, and CLIP-170 interactions.
Main Results:
- A subgroup of patients with high CDK4 and filamin-A levels showed a 90% pathological complete response (pCR) rate to paclitaxel.
- CDK4 was found to regulate filamin-A transcription.
- A mechanism involving filamin-A, tubulin, and CLIP-170 was elucidated, enhancing paclitaxel's effect on microtubules.
Conclusions:
- Phosphoproteomics is a powerful tool for discovering predictive biomarkers in complex cancers.
- CDK4 and filamin-A are promising biomarkers for predicting paclitaxel response in HER2-negative breast cancer.
- The identified mechanism provides a molecular basis for personalized paclitaxel treatment strategies.
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