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Updated: Jun 25, 2025

Studying Triple Negative Breast Cancer Using Orthotopic Breast Cancer Model
Published on: March 20, 2020
Mesenchymal-like immune-altered is the fourth robust triple-negative breast cancer molecular subtype
Pascal Jézéquel1,2,3, Hamza Lasla4, Wilfried Gouraud4
1Institut de Cancérologie de l'Ouest, 44805, Saint Herblain, France. pascal.jezequel@ico.unicancer.fr.
Background:
Robust molecular subtyping of triple-negative breast cancer (TNBC) is a prerequisite for the success of precision medicine. Today, there is a clear consensus on three TNBC molecular subtypes: luminal androgen receptor (LAR), basal-like immune-activated (BLIA), and basal-like immune-suppressed (BLIS). However, the debate about the robustness of other subtypes is still open.
Methods:
An unprecedented number (n = 1942) of TNBC patient data was collected. Microarray- and RNAseq-based cohorts were independently investigated. Unsupervised analyses were conducted using k-means consensus clustering. Clusters of patients were then functionally annotated using different approaches. Prediction of response to chemotherapy and targeted therapies, immune checkpoint blockade, and radiotherapy were also screened for each TNBC subtype.
Results:
Four TNBC subtypes were identified in the cohort: LAR (19.36%); mesenchymal stem-like (MSL/MES) (17.35%); BLIA (31.06%); and BLIS (32.23%). Regarding the MSL/MES subtype, we suggest renaming it to mesenchymal-like immune-altered (MLIA) to emphasize its specific histological background and nature of immune response. Treatment response prediction results show, among other things, that despite immune activation, immune checkpoint blockade is probably less or completely ineffective in MLIA, possibly caused by mesenchymal background and/or an enrichment in dysfunctional cytotoxic T lymphocytes. TNBC subtyping results were included in the bc-GenExMiner v5.0 webtool ( http://bcgenex.ico.unicancer.fr ).
Conclusion:
The mesenchymal TNBC subtype is characterized by an exhausted and altered immune response, and resistance to immune checkpoint inhibitors. Consensus for molecular classification of TNBC subtyping and prediction of cancer treatment responses helps usher in the era of precision medicine for TNBC patients.
Insights
This study identifies four triple-negative breast cancer (TNBC) subtypes, including a novel mesenchymal-like immune-altered (MLIA) subtype resistant to immune checkpoint inhibitors, advancing precision medicine for TNBC patients.
Area of Science:
- Oncology
- Genomics
- Immunology
Background:
- Triple-negative breast cancer (TNBC) requires robust molecular subtyping for precision medicine.
- Current consensus includes Luminal Androgen Receptor (LAR), Basal-Like Immune-Activated (BLIA), and Basal-Like Immune-Suppressed (BLIS) subtypes.
- The existence and characteristics of additional TNBC subtypes remain under investigation.
Purpose of the Study:
- To perform comprehensive molecular subtyping of a large TNBC patient cohort.
- To functionally annotate identified subtypes and predict treatment responses.
- To refine TNBC classification for improved therapeutic strategies.
Main Methods:
- Analysis of an extensive dataset (n=1942) comprising microarray- and RNAseq-based TNBC patient data.
- Application of unsupervised k-means consensus clustering for patient stratification.
- Functional annotation of clusters and prediction of responses to chemotherapy, targeted therapies, immune checkpoint blockade, and radiotherapy.
Main Results:
- Identification of four TNBC subtypes: LAR (19.36%), Mesenchymal Stem-Like (MSL/MES) (17.35%), BLIA (31.06%), and BLIS (32.23%).
- Proposal to rename MSL/MES to Mesenchymal-Like Immune-Altered (MLIA) to reflect its immune profile and histology.
- MLIA subtype exhibits potential resistance to immune checkpoint blockade due to its mesenchymal nature and dysfunctional cytotoxic T lymphocytes.
- TNBC subtyping data integrated into the bc-GenExMiner v5.0 webtool.
Conclusions:
- The MLIA TNBC subtype is characterized by immune exhaustion and resistance to immune checkpoint inhibitors.
- Standardized TNBC molecular subtyping facilitates prediction of treatment responses.
- This classification advances precision medicine for triple-negative breast cancer patients.
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