Abstract

BackgroundBreast cancer brain metastases (BCBM) develop in about 20–30% of breast cancer (BC) patients. BCBM are associated with dismal prognosis not at least due to lack of valuable molecular therapeutic targets. The aim of the study was to identify new molecular biomarkers and targets in BCBM by using complementary state-of-the-art techniques.MethodsWe compared array expression profiles of three BCBM with 16 non-brain metastatic BC and 16 primary brain tumors (prBT) using a false discovery rate (FDR) p < 0.05 and fold change (FC) > 2. Biofunctional analysis was conducted on the differentially expressed probe sets. High-density arrays were employed to detect copy number variations (CNVs) and whole exome sequencing (WES) with paired-end reads of 150 bp was utilized to detect gene mutations in the three BCBM.ResultsThe top 370 probe sets that were differentially expressed between BCBM and both BC and prBT were in the majority comparably overexpressed in BCBM and included, e.g. the coding genes BCL3, BNIP3, BNIP3P1, BRIP1, CASP14, CDC25A, DMBT1, IDH2, E2F1, MYCN, RAD51, RAD54L, and VDR. A number of small nucleolar RNAs (snoRNAs) were comparably overexpressed in BCBM and included SNORA1, SNORA2A, SNORA9, SNORA10, SNORA22, SNORA24, SNORA30, SNORA37, SNORA38, SNORA52, SNORA71A, SNORA71B, SNORA71C, SNORD13P2, SNORD15A, SNORD34, SNORD35A, SNORD41, SNORD53, and SCARNA22. The top canonical pathway was entitled, role of BRCA1 in DNA damage response. Network analysis revealed key nodes as Akt, ERK1/2, NFkB, and Ras in a predicted activation stage. Downregulated genes in a data set that was shared between BCBM and prBT comprised, e.g. BC cell line invasion markers JUN, MMP3, TFF1, and HAS2. Important cancer genes affected by CNVs included TP53, BRCA1, BRCA2, ERBB2, IDH1, and IDH2. WES detected numerous mutations, some of which affecting BC associated genes as CDH1, HEPACAM, and LOXHD1.ConclusionsUsing complementary molecular genetic techniques, this study identified shared and unshared molecular events in three highly aberrant BCBM emphasizing the challenge to detect new molecular biomarkers and targets with translational implications. Among new findings with the capacity to gain clinical relevance is the detection of overexpressed snoRNAs known to regulate some critical cellular functions as ribosome biogenesis.

Highlights

  • Breast cancer brain metastases (BCBM) develop in about 20–30% of breast cancer (BC) patients

  • Similarity of expression profiles of all 35 samples is illustrated by a distance related matrix in a principal component analysis (PCA) 3D scatter plot showing that the three BCBM define a separate cluster between BC and primary brain tumors (prBT) (Fig. 1)

  • Genes and biofunctions shared between BCBM and prBT To identify candidate genes that may support the brain metastasis to adapt and expand in the brain microenvironment, we selected in our data compilation for those probe sets that intersect between the comparison groups BCBM vs. BC and BC vs. prBT (FDR p < 0.05 and fold change (FC) > 2.0)

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Summary

Introduction

Breast cancer brain metastases (BCBM) develop in about 20–30% of breast cancer (BC) patients. BCBM are associated with dismal prognosis not at least due to lack of valuable molecular therapeutic targets. The aim of the study was to identify new molecular biomarkers and targets in BCBM by using complementary state-of-the-art techniques. It is estimated that 20–30% of all breast cancer (BC) develop BC brain metastases (BCBM) [1]. ERBB2 amplifications and mutations are frequently found in BC and corresponding BCBM [12]. Targeted therapy options for triple negative BCBM, which harbor frequently BRCA1 and BRCA2 aberrations, are currently not available in clinical practice. To improve treatment of BCBM, a number of advanced therapy trials and new targeted therapy options are emerging [1, 13,14,15]. Molecular targets include e.g. ERBB2, EGFR, VEGFR, PARP, and the mTOR and CDK-4/6 pathways

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