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Optimization of a Multiplex RNA-based Expression Assay Using Breast Cancer Archival Material
Published on: August 1, 2018
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MRI-based breast cancer radiogenomics using RNA profiling: association with subtypes in a single-center prospective
Ah Young Park1, Mi-Ryung Han2, Bo Kyoung Seo3
1Department of Radiology, CHA Bundang Medical Center, CHA University, Seongnam, Republic of Korea.
Breast Cancer Research : BCR
|June 30, 2023
Summary
This study links breast cancer MRI features to gene expression, revealing subtype-specific imaging markers for prognosis and treatment. These MRI phenotypes correlate with gene pathways influencing metastasis and drug resistance.
Area of Science:
- Oncology
- Radiology
- Genomics
Background:
- Limited prospective studies correlate MRI features with RNA sequencing data in breast cancer molecular subtypes.
- Understanding these correlations is crucial for subtype-specific prognosis and treatment strategies.
Purpose of the Study:
- To explore the association between genetic profiles and MRI phenotypes in breast cancer.
- To identify potential imaging biomarkers influencing breast cancer prognosis and treatment based on molecular subtypes.
Main Methods:
- Prospective analysis of MRIs from 95 invasive breast cancer patients (June 2017-August 2018).
- Utilized Breast Imaging-Reporting and Data System (BI-RADS) and texture analysis for MRI features.
- Whole RNA sequencing of surgical specimens, followed by gene expression profiling and pathway analysis (Ingenuity Pathway Analysis).
Main Results:
- Mass lesion type correlated with CCL3L1 upregulation; irregular mass shape with MIR421 downregulation.
- Estrogen receptor-positive (ER+) cancers showed specific gene up/downregulations (e.g., CCL3L1, SNHG12, MIR206, MIR597).
- Triple-negative breast cancer (TNBC) with specific texture analysis findings exhibited distinct gene expression patterns (e.g., CLEC3A, SRGN, IGLC2).
Conclusions:
- MRI characteristics are significantly associated with differential gene expression related to metastasis and drug resistance.
- These associations vary based on breast cancer molecular subtypes.
- Identified imaging markers may offer insights into prognosis and guide tailored treatment approaches.
