Gene Expression and Pathway Activation Biomarkers of Breast Cancer Sensitivity to Taxanes.

Biochemistry (Mosc)

PathoBiology Group, European Organization for Research and Treatment of Cancer (EORTC), Brussels, Belgium.

Published: October 2024

AI Article Synopsis

  • - Taxanes, like paclitaxel and docetaxel, are key treatments for breast cancer, but how they work and why some patients resist them aren’t fully understood.
  • - This study analyzed a huge amount of breast cancer gene expression data to identify 34 genes and 29 pathways that can help distinguish between patients who respond well to taxane treatment and those who don’t.
  • - They developed predictive signatures based on gene expression and pathway activation that showed strong potential in identifying treatment responses, indicating a promising step towards more personalized breast cancer therapy.

Article Abstract

Taxanes are one of the most widely used classes of breast cancer (BC) therapeutics. Despite the long history of clinical usage, the molecular mechanisms of their action and cancer resistance are still not fully understood. Here we aimed to identify gene expression and molecular pathway activation biomarkers of BC sensitivity to taxane drugs paclitaxel and docetaxel. We used to our knowledge the biggest collection of clinically annotated publicly available literature BC gene expression data (12 datasets,  = 1250) and the experimental clinical BC cohort ( = 12). Seven literature datasets were used for biomarker discovery ( = 914), and the remaining five literature plus one experimental datasets ( = 336) - for the validation. We totally found 34 genes and 29 molecular pathways which could strongly discriminate good and poor responders to taxane treatments. The biomarker genes and pathways were associated with molecular processes related to formation of mitotic spindle and centromeres, and with the spindle assembly mitotic checkpoint. Furthermore, we created gene expression and pathway activation signatures predicting BC response to taxanes. These signatures were tested on the validation BC cohort and demonstrated strong biomarker potential reflected by mean AUC values of 0.76 and 0.77, respectively, which outperforms previously reported analogs. Taken together, these findings can deepen our understanding of mechanism of action of taxanes and potentially improve personalization of treatment in BC.

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Source
http://dx.doi.org/10.1134/S0006297924100110DOI Listing

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