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miRNA Expression Analyses in Prostate Cancer Clinical Tissues
Published on: September 8, 2015
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MiRNA expression deregulation correlates with the Oncotype DX® DCIS score
Olivier Loudig1, Megan I Mitchell2, Iddo Z Ben-Dov3
1Center for Discovery and Innovation, Hackensack Meridian Health, Nutley, NJ, 07110, USA. olivier.loudig@hmh-cdi.org.
Breast Cancer Research : BCR
|September 12, 2022
Summary
This study found that five specific microRNAs (miRNAs) can help predict breast cancer risk in ductal carcinoma in situ (DCIS) patients, potentially improving upon current Oncotype DX® DCIS scores. These miRNA expression changes correlate with risk, aiding in better patient stratification.
Area of Science:
- Oncology
- Genomics
- Molecular Biology
Background:
- Current clinical criteria inadequately predict invasive breast cancer (IBC) or ductal carcinoma in situ (DCIS) recurrence.
- The Oncotype DX® DCIS assay predicts recurrence risk but may benefit from complementary biomarkers.
- MicroRNA (miRNA) deregulation is implicated in IBC development, yet its role in DCIS requires further investigation.
Purpose of the Study:
- To investigate the correlation between specific miRNA expression deregulation and Oncotype DX® DCIS scores.
- To identify miRNAs that can enhance the predictive accuracy of the Oncotype DX® DCIS assay.
- To explore the potential of miRNA expression profiling in assessing DCIS prognosis.
Main Methods:
- Utilized formalin-fixed, paraffin-embedded (FFPE) DCIS specimens from 41 patients.
- Stratified DCIS lesions into low, intermediate, and high-risk groups using the Oncotype DX® DCIS assay.
- Performed next-generation small-RNA sequencing and RT-qPCR validation to analyze miRNA expression and correlate it with Oncotype scores and patient age.
Main Results:
- A significant correlation was found between the expression deregulation of 17 miRNAs and Oncotype scores.
- Expression deregulation of 9 miRNAs correlated with patient age.
- A panel of 5 miRNAs (miR-190b, miR-135a, miR-205, miR-30c, miR-744) showed decreased expression in intermediate/high-risk groups and formed a composite score significantly associated with Oncotype DX® DCIS scores.
Conclusions:
- Identified a specific subset of 5 miRNAs capable of discriminating between Oncotype DX® DCIS score subgroups.
- MiRNA expression analysis demonstrates potential to augment the predictive and prognostic evaluation of DCIS.
- These findings suggest that miRNA profiling could offer added value in managing DCIS patients.
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