Association of interleukin-enhanced factor 2 (ILF2) expression with prognosis and clinico-genomic features in breast cancer (BC)

1030 Background: Novel prognostic and predictive biomarkers beyond traditional histological subtypes are needed to better inform outcomes and enhance therapy guidance in breast cancer (BC). We have previously reported that ILF2 was overexpressed in TNBC cell lines and has a functional role in DNA and RNA metabolism, making it a promising biomarker for risk assessment and treatment decisions. Herein, we aim to leverage a large clinico-genomic dataset to further characterize ILF2 in BC patients (pts). Methods: A total of 9456 BC tissue samples underwent molecular profiling at Caris Life Sciences (Phoenix, AZ). Analyses included next generation sequencing of DNA (592 Gene Panel, or Whole Exome Sequencing), and RNA (Whole Transcriptome Sequencing), and immunohistochemistry (IHC). Wilcoxon and Fisher’s exact were used to determine statistical significance. Overall survival (OS) was obtained from insurance claims and Kaplan-Meier estimates were calculated. Spearman correlation was used to identify highly correlated genes (ρ>0.6) with ILF2 and significant genes that were subsequently analyzed via pathway analysis using STRING. Results: BC pts were grouped into ILF2-High (H, top quartile) and ILF2-Low (L, bottom quartile) based on mRNA expression (TPM). ILF2-H pts were significantly younger (73 vs 80% for pts >50), enriched in ductal histology (90.9 vs 77.7%), TNBC subtype (48.9 vs 18.9%), and had a higher CNS metastases rate (4.3 vs 1.4%) compared to ILF2-L pts (all q