ArticleMolecular genetics & genomic medicine2019
Copy number alterations associated with clinical features in an underrepresented population with breast cancer.
Article in Molecular genetics & genomic medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 9 citations in OpenAlex.
- Emerging Breast Cancer Subpopulations: Functional Heterogeneity Beyond the Classical Subtypes.International journal of molecular sciences · 2025Review
- Intravascular NK/T-Cell Lymphoma: What We Know about This Diagnostically Challenging, Aggressive Disease.Cancers · 2022Review
- The pseudogenes of eukaryotic translation elongation factors (EEFs): Role in cancer and other human diseases.Genes & diseases · 2022Review
- Expression, Regulation, and Functions of the Galectin-16 Gene in Human Cells and Tissues.Biomolecules · 2021Article
- The Construction of Bone Metastasis-Specific Prognostic Model and Co-expressed Network of Alternative Splicing in Breast Cancer.Frontiers in cell and developmental biology · 2020Article
- Copy number alterations associated with clinical features in an underrepresented population with breast cancer.Molecular genetics & genomic medicine · 2019Article
Corrections and comments
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Authors and funding
13 authors at 3 institutions in 2 countries.
Funding
Abstract
backgroundAs the most incident tumor among women worldwide, breast cancer is a heterogeneous disease. Tremendous efforts have been made to understand how tumor characteristics as histological type, molecular subtype, and tumor microenvironment collectively influence disease diagnosis to treatment, which impact outcomes. Differences between populations and environmental and cultural factors have impacts on the origin and evolution of the disease, as well as the therapeutic challenges that arise due to these factors. We, then, compared copy number variations (CNVs) in mucinous and nonmucinous luminal breast tumors from a Brazilian cohort to investigate major CNV imbalances in mucinous tumors versus non-mucinous luminal tumors, taking into account their clinical and pathological features.
methods48 breast tumor samples and 48 matched control blood samples from Brazilian women were assessed for CNVs by chromosome microarray. Logistic regression and random forest models were used in order to assess CNVs in chromosomal regions from tumors.
resultsCNVs that were identified in chromosomes 1, 5, 8, 17, 19, and 21 classify tumors according to their histological type, ethnicity, disease stage, and familial history.
conclusionCopy number alterations described in this study provide a better understanding of the landscape of genomic aberrations in mucinous breast cancers that are associated with clinical features.
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