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Published on: April 11, 2016
Determination of copy number variations and affected gene networks in breast cancer
Violeta Larios-Serrato1, Hilda-Alicia Valdez-Salazar2, Javier Torres2
1Laboratory of Biotechnology and Genomic Bioinformatics, National School of Biological Sciences, National Polytechnic Institute, Lázaro Cárdenas Professional Unit, Mexico City 11340, Mexico.
Abstract:
Triple-negative breast cancer (TNBC) is a highly aggressive form characterized by limited therapeutic options and notable molecular diversity. The present study performed a genome-wide analysis of copy number variations (CNVs) using high-density microarrays in tumor tissue (TUM), adjacent non-tumor tissue (ADJ) and leukocytes (LEU) obtained from five patients with TNBC. The present study identified both unique and shared CNVs across tissue samples, including alterations in key chromosomal regions such as 1q23.3, 1q32.1 and 8q24.3, which harbor oncogenes such as MYC, myeloid cell leukemia 1 (MCL1) and BCL9. Losses in 6q25.2 affecting estrogen receptor 1 (ESR1) gene were also detected. CNVs were enriched in genes associated with Hallmarks of Cancer, with TUM samples showing profiles associated with 'proliferation', 'metastasis' and 'immune evasion', ADJ samples with 'growth suppression' and LEU samples with 'genomic instability'. Pathway enrichment analyses revealed disrupted functions in 'DNA repair', 'extracellular matrix organization' and 'TP53 signaling' in TUM. Notably, EGFR, excision repair cross-complementing group 4 (ERCC4) and heat shock protein 90 alpha family class B member 1 (HSP90AB1) genes emerged as potential central nodes in interaction networks and may serve as markers or therapeutic targets. To the best of our knowledge, the present study is the first CNV profiling study in TNBC in Mexican patients, highlighting the importance of including underrepresented populations in genomic research to uncover distinct molecular signatures and potential diagnostic or therapeutic avenues. Bioinformatically predicted molecular signatures of TNBC involve both common and distinct CNV-associated Hallmarks of Cancer genes, which represent candidates for screening as potential TNBC biomarkers.
Insights
This study analyzed copy number variations in triple-negative breast cancer (TNBC) patients, identifying key genetic alterations and potential therapeutic targets. Findings highlight distinct molecular signatures in underrepresented populations for improved diagnostics and treatments.
Area of Science:
- Genomics
- Oncology
- Molecular Biology
Background:
- Triple-negative breast cancer (TNBC) presents aggressive behavior with limited treatment options and significant molecular heterogeneity.
- Understanding the genomic landscape of TNBC is crucial for developing targeted therapies.
Purpose of the Study:
- To perform a genome-wide copy number variation (CNV) analysis in TNBC tumor and non-tumor tissues.
- To identify novel CNVs and associated genes in TNBC, particularly within underrepresented populations.
- To explore potential diagnostic markers and therapeutic targets based on CNV profiles.
Main Methods:
- Genome-wide CNV profiling using high-density microarrays on tumor (TUM), adjacent non-tumor (ADJ), and leukocyte (LEU) samples from five TNBC patients.
- Bioinformatic analysis including pathway enrichment and gene interaction network construction.
- Comparative analysis of CNVs across different tissue types.
Main Results:
- Identified unique and shared CNVs in TNBC, including alterations in chromosomal regions harboring oncogenes (MYC, MCL1, BCL9) and tumor suppressor genes.
- CNVs were enriched in cancer hallmarks, with distinct profiles for TUM ('proliferation', 'metastasis', 'immune evasion'), ADJ ('growth suppression'), and LEU ('genomic instability').
- Disrupted pathways in TUM included 'DNA repair', 'extracellular matrix organization', and 'TP53 signaling'. EGFR, ERCC4, and HSP90AB1 emerged as potential therapeutic targets.
Conclusions:
- This is the first CNV profiling study in TNBC from Mexican patients, revealing distinct molecular signatures.
- CNV-associated genes and pathways offer potential biomarkers for TNBC screening and novel therapeutic strategies.
- Genomic research in diverse populations is vital for uncovering unique cancer characteristics and advancing personalized medicine.
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