Phosphoproteomic analysis of neoadjuvant breast cancer suggests that increased sensitivity to paclitaxel is driven by

S Mouron1, M J Bueno1, A Lluch2

  • 1Breast Cancer Clinical Research Unit Centro Nacional de Investigaciones Oncológicas - CNIO, Madrid, Spain.

Nature Communications
|December 8, 2022
PubMed

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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