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Updated: Mar 18, 2026

Non-enzymatic, Serum-free Tissue Culture of Pre-invasive Breast Lesions for Spontaneous Generation of Mammospheres
Published on: November 8, 2014
Molecular Features of Subtype-Specific Progression from Ductal Carcinoma In Situ to Invasive Breast Cancer
Robert Lesurf1, Miriam Ragle Aure2, Hanne Håberg Mørk3
1Department of Biochemistry, McGill University, Montreal, QC H3G 1Y6, Canada; McGill Centre for Bioinformatics, McGill University, Montreal, QC H3G 1Y6, Canada; Rosalind & Morris Goodman Cancer Research Centre, McGill University, Montreal, QC H3A 1A3, Canada.
Breast cancer progression involves subtype-specific molecular changes. Identifying these changes in pre-invasive tumors can predict future disease advancement.
Area of Science:
- Oncology
- Molecular Biology
- Genomics
Background:
- Breast cancer exhibits at least five molecular intrinsic subtypes.
- Early molecular features of invasive breast cancer are established, but progression mechanisms remain unclear.
- Subtype-dependency of progression mechanisms is unknown.
Purpose of the Study:
- To identify genes, pathways, and cell types involved in breast cancer progression.
- To investigate subtype-specific mechanisms driving breast cancer progression.
- To develop subtype-specific signatures for predicting pre-invasive tumor progression.
Main Methods:
- Generated mRNA, miRNA, and DNA copy-number profiles.
- Analyzed 59 in situ lesions and 85 invasive tumors.
- Identified molecular features associated with disease progression.
Main Results:
- Found subtype-unique molecular features associated with breast cancer progression.
- Established subtype-specific signatures capable of identifying pre-invasive tumors with invasive-like profiles.
- These signatures indicate a higher likelihood of future disease progression.
Conclusions:
- Breast cancer progression is influenced by subtype-specific molecular alterations.
- Pre-invasive tumors with invasive-like molecular profiles are at higher risk of progression.
- Subtype-specific analysis is crucial for understanding and predicting breast cancer progression.
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