Using bioinformatics and artificial intelligence to map the cyclin-dependent kinase 4/6 inhibitor biomarker landscape in breast cancer.

Journal: Future oncology (London, England)
PMID:

Abstract

A cyclin-dependent kinase 4/6 (CDK4/6) inhibitor combined with endocrine therapy is the standard-of-care for patients with hormone receptor-positive/human epidermal growth factor receptor 2-negative advanced breast cancer. However, not all patients respond to the treatment, resistance often occurs and efficacy outcomes from early breast cancer trials have been mixed. To identify biomarkers associated with CDK4/6 inhibitor response or resistance, we combined bioinformatic-database analyses, artificial intelligence-assisted literature review, and manual literature review (Embase and OVID Medline; search window: January 2012-October 2022) to compile data to comprehensively describe the CDK4/6 inhibitor biomarker landscape. Based on these results, and validation by external experts, we identified 15 biomarkers of clinical importance ( , , , , , , , , , , and ) that could guide future breast cancer research.

Authors

  • Kim Wager
    AI & Data Science, Oxford PharmaGenesis Ltd, Oxford, UK.
  • Yao Wang
    Department of Gastrointestinal Surgery, Zhongshan People's Hospital, Zhongshan, Guangdong, China.
  • Andrew Liew
    AI & Data Science, Oxford PharmaGenesis Ltd, Oxford, UK.
  • Dean Campbell
    Oncology Pfizer Biopharma, Pfizer Inc., New York, NY 10001, USA.
  • Feng Liu
    Department of Vascular and Endovascular Surgery, The First Medical Center of Chinese PLA General Hospital, 100853 Beijing, China.
  • Jean-François Martini
    Pfizer Oncology Division, Pfizer Inc., San Diego, CA 92121, USA.
  • Niusha Ziaee
    Oncology Pfizer Biopharma, Pfizer Inc., New York, NY 10001, USA.
  • Yuan Liu
    Department of General Surgery, Wuxi People's Hospital Affiliated to Nanjing Medical University, Wuxi, China.