AI Article Synopsis

  • SETD7 is a key methyltransferase involved in breast cancer and its expression varies by cancer subtype, which impacts clinical outcomes.
  • Higher SETD7 levels are linked to worse recurrence-free survival in the basal-like subtype and show a correlation with increased ERBB2 mutations and poorer response to anti-Her2 therapies.
  • The study suggests that SETD7 expression is also associated with specific immune response processes, indicating its potential role as a predictive marker for treatment options like immune checkpoint inhibitors in breast cancer.

Article Abstract

SETD7 is a lysine N-methyltransferase that targets many proteins important in breast cancer (BC). However, its role and clinical significance remain unclear. Here, we used online tools and multiple public datasets to explore the predictive potential of SETD7 expression (high or low quartile) considering BC subtype, grade, stage, and therapy. We also investigated overrepresented biological processes associated with its expression using TCGA-BRCA data. SETD7 expression was highest in the Her2 (ERBB2)-enriched molecular subtype and lowest in the basal-like subtype. For the basal-like subtype specifically, higher SETD7 was consistently correlated with worse recurrence-free survival (p < 0.009). High SETD7-expressing tumours further exhibited a higher rate of ERBB2 mutation (20% vs. 5%) along with a poorer response to anti-Her2 therapy. Overall, high SETD7-expressing tumours showed higher stromal and lower immune scores. This was specifically related to higher counts of cancer-associated fibroblasts and endothelial cells, but lower B and T cell signatures, especially in the luminal A subtype. Genes significantly associated with SETD7 expression were accordingly overrepresented in immune response processes, with distinct subtype characteristics. We conclude that the prognostic value of SETD7 depends on the BC subtype and that SETD7 may be further explored as a potential treatment-predictive marker for immune checkpoint inhibitors.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9775934PMC
http://dx.doi.org/10.3390/cancers14246029DOI Listing

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