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Monitoring of Nanodrug Accumulation in Murine Breast Cancer Metastases
Published on: August 23, 2024
Comprehensive molecular biomarker identification in breast cancer brain metastases
Hans-Juergen Schulten1, Mohammed Bangash2, Sajjad Karim3
1Center of Excellence in Genomic Medicine Research, King Abdulaziz University, Jeddah, Saudi Arabia. hschulten@kau.edu.sa.
Background:
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.
Methods:
We 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.
Results:
The 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.
Conclusions:
Using 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.
Insights
This study identified novel molecular biomarkers and therapeutic targets in breast cancer brain metastases (BCBM) using advanced genetic techniques. Overexpressed small nucleolar RNAs (snoRNAs) were found to be potential targets for BCBM treatment.
Area of Science:
- Oncology
- Genetics
- Molecular Biology
Background:
- Breast cancer brain metastases (BCBM) affect 20-30% of breast cancer (BC) patients, often leading to a poor prognosis due to limited therapeutic targets.
- Identifying new molecular biomarkers and therapeutic targets in BCBM is crucial for improving patient outcomes.
Purpose of the Study:
- To identify novel molecular biomarkers and therapeutic targets in BCBM using complementary state-of-the-art techniques.
- To compare molecular profiles of BCBM with non-brain metastatic BC and primary brain tumors.
Main Methods:
- Comparative array expression profiling of three BCBM against 16 non-brain metastatic BC and 16 primary brain tumors (prBT).
- Analysis of differentially expressed genes using false discovery rate (FDR) p < 0.05 and fold change (FC) > 2.
- Detection of copy number variations (CNVs) and gene mutations via whole exome sequencing (WES).
Main Results:
- Overexpression of 370 probe sets in BCBM, including coding genes (e.g., BCL3, MYCN, RAD51) and small nucleolar RNAs (snoRNAs) (e.g., SNORA1, SNORD35A).
- Key canonical pathway identified: role of BRCA1 in DNA damage response; network analysis highlighted Akt, ERK1/2, NFkB, and Ras.
- CNVs affected cancer genes like TP53, BRCA1, and ERBB2; WES detected mutations in BC-associated genes (e.g., CDH1, HEPACAM).
Conclusions:
- Complementary molecular genetic techniques revealed shared and unshared molecular events in BCBM, highlighting challenges in identifying translational biomarkers.
- Overexpressed snoRNAs, regulating ribosome biogenesis, represent a novel finding with potential clinical relevance for BCBM treatment.
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