ArticleAnnals of surgical treatment and research2017
Associations between gene expression profiles of invasive breast cancer and Breast Imaging Reporting and Data System MRI lexicon.
Article in Annals of surgical treatment and research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
What it found
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- TCGA-TCIA Impact on Radiogenomics Cancer Research: A Systematic Review.International journal of molecular sciences · 2019Pooled it
- Radiogenomic Landscape of Metastatic Endocrine-Positive Breast Cancer Resistant to Aromatase Inhibitors.Cancers · 2025Review
- Colorectal Cancer Complicated with Chronic Schistosoma Japonicum Infected: A Case Report.Acta parasitologica · 2024Article
- The tissue expression of MCT3, MCT8, and MCT9 genes in women with breast cancer.Genes & genomics · 2021Article
- Imaging features of breast cancer molecular subtypes: state of the art.Journal of pathology and translational medicine · 2021Review
- The Possible Influence of Mediterranean Diet on Extracellular Vesicle miRNA Expression in Breast Cancer Survivors.Cancers · 2020Article
- Correlation between MR Image-Based Radiomics Features and Risk Scores Associated with Gene Expression Profiles in Breast Cancer.Taehan Yongsang Uihakhoe chi · 2020Article
- Translational Bioinformatics for Cholangiocarcinoma: Opportunities and Challenges.International journal of biological sciences · 2018Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo evaluate whether the Breast Imaging Reporting and Data System (BI-RADS) MRI lexicon could reflect the genomic information of breast cancers and to suggest intuitive imaging features as biomarkers.
methodsMatched breast MRI data from The Cancer Imaging Archive and gene expression profile from The Cancer Genome Atlas of 70 invasive breast cancers were analyzed. Magnetic resonance images were reviewed according to the BI-RADS MRI lexicon of mass morphology. The cancers were divided into 2 groups of gene clustering by gene set enrichment an alysis. Clinicopathologic and imaging characteristics were compared between the 2 groups.
resultsThe luminal subtype was predominant in the group 1 gene set and the triple-negative subtype was predominant in the group 2 gene set (55 of 56, 98.2%
conclusionWe identified intuitive imaging features of breast MRI associated with distinct gene expression profiles using the standard imaging variables of BI-RADS. The internal enhancement pattern on MRI might reflect specific gene expression profiles of breast cancers, which can be recognized by visual distinction.
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