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Updated: Dec 16, 2025

Studying Triple Negative Breast Cancer Using Orthotopic Breast Cancer Model
Published on: March 20, 2020
Molecular Classification and Future Therapeutic Challenges of Triple-negative Breast Cancer
Nikolaos Garmpis1,2, Christos Damaskos3, Anna Garmpi4
1Second Department of Propedeutic Surgery, Laiko General Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece.
Abstract:
Triple-negative breast cancer (TNBC) is an extremely diverse group of breast tumors, with aggressive clinical behavior, higher rates of distant recurrence and worse overall survival compared to other types of breast cancers. The genetic, transcriptional histological and clinical heterogeneity of this disease has been an obstacle in the progression of targeted therapeutic approaches, as a ubiquitous TNBC marker has not yet been discerned. In terms of that, current studies focus on the classification of TNBC tumors in subgroups with similar characteristics in order to develop a treatment specialized for each group of patients. To date, a series of gene expression profiles analysis in order to identify the different molecular subtypes have been used. Complementary DNA microarrays, PAM50 assays, DNA and RNA sequencing as well as immunohistochemical analysis are some of the methods utilized to classify TNBC tumors. In 2012, the Cancer Genome Atlas (TCGA) Research Network conducted a major analysis of breast cancers using six different platforms, the genomic DNA copy number arrays, DNA methylation, exome sequencing, messenger RNA arrays, microRNA sequencing and reverse-phase protein arrays, in order to assort the tumors in homogenous subgroups. Since then, an increasing number of breast cancer data sets are being examined in an attempt to distinguish the classification with biological interpretation and clinical implementation. In this review, the progress in molecular subtyping of TNBC is discussed, providing a brief insight in novel TNBC biomarkers and therapeutic strategies.
Insights
Triple-negative breast cancer (TNBC) is highly diverse, hindering targeted therapies. Molecular subtyping aims to classify TNBC into subgroups for personalized treatment strategies and improved patient outcomes.
Area of Science:
- Oncology
- Genomics
- Molecular Biology
Background:
- Triple-negative breast cancer (TNBC) exhibits significant heterogeneity.
- This diversity presents challenges for developing effective targeted therapies.
- TNBC is associated with aggressive behavior, higher recurrence rates, and poorer survival.
Purpose of the Study:
- To review the progress in molecular subtyping of TNBC.
- To discuss novel biomarkers for TNBC classification.
- To provide insights into emerging therapeutic strategies for TNBC.
Main Methods:
- Gene expression profiling analysis.
- Utilizing techniques such as DNA microarrays, PAM50 assays, DNA/RNA sequencing, and immunohistochemistry.
- Leveraging large-scale data analyses like The Cancer Genome Atlas (TCGA) with multiple genomic platforms.
Main Results:
- Molecular subtyping aims to categorize TNBC into more homogenous subgroups.
- Identification of distinct molecular subtypes is crucial for understanding TNBC biology.
- Advancements in multi-platform analyses are refining TNBC classification.
Conclusions:
- Molecular subtyping is essential for developing personalized treatment approaches for TNBC.
- Continued research into TNBC biomarkers and subtypes will drive therapeutic innovation.
- Understanding TNBC heterogeneity is key to improving patient survival and treatment efficacy.
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