Characterization of triple‐negative breast cancer preclinical models provides functional evidence of metastatic progression
Autor: | Ana Armiñán, Antonio Pineda-Lucena, Coralie Deladriere, Juan J. Arroyo-Crespo, Rubén Lamas-Domingo, María J. Vicent, Martina Palomino-Schätzlein, David Charbonnier, Jerónimo Forteza |
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Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: |
Cancer Research
Stromal cell Axillary lymph nodes Tumor Markers and Signatures Hepatosplenomegaly Triple Negative Breast Neoplasms Mice SCID 03 medical and health sciences 0302 clinical medicine Breast cancer Immune system Mice Inbred NOD Cell Line Tumor medicine Animals Humans Triple-negative breast cancer Mice Inbred BALB C business.industry Mammary Neoplasms Experimental Reproducibility of Results medicine.disease preclinical models spontaneous metastasis metabolomics Xenograft Model Antitumor Assays 3. Good health Extramedullary hematopoiesis Disease Models Animal Lymphatic system medicine.anatomical_structure triple‐negative breast cancer Nanomedicine Oncology 030220 oncology & carcinogenesis Lymphatic Metastasis triple-negative breast cancer Cancer research Female medicine.symptom business |
Zdroj: | International Journal of Cancer INTERNATIONAL JOURNAL OF CANCER r-IIS La Fe. Repositorio Institucional de Producción Científica del Instituto de Investigación Sanitaria La Fe instname |
ISSN: | 1097-0215 0020-7136 |
Popis: | Triple‐negative breast cancer (TNBC), an aggressive, metastatic and recurrent breast cancer (BC) subtype, currently suffers from a lack of adequately described spontaneously metastatic preclinical models that faithfully reproduce the clinical scenario. We describe two preclinical spontaneously metastatic TNBC orthotopic murine models for the development of advanced therapeutics: an immunodeficient human MDA‐MB‐231‐Luc model and an immunocompetent mouse 4T1 model. Furthermore, we provide a broad range of multifactorial analysis for both models that could provide relevant information for the development of new therapies and diagnostic tools. Our comparisons uncovered differential growth rates, stromal arrangements and metabolic profiles in primary tumors, and the presence of cancer‐associated adipocyte infiltration in the MDA‐MB‐231‐Luc model. Histopathological studies highlighted the more rapid metastatic spread to the lungs in the 4T1 model following a lymphatic route, while we observed both homogeneous (MDA‐MB‐231‐Luc) and heterogeneous (4T1) metastatic spread to axillary lymph nodes. We encountered unique metabolomic signatures in each model, including crucial amino acids and cell membrane components. Hematological analysis demonstrated severe leukemoid and lymphoid reactions in the 4T1 model with the partial reestablishment of immune responses in the immunocompromised MDA‐MB‐231‐Luc model. Additionally, we discovered β‐immunoglobulinemia and increased basal levels of G‐CSF correlating with a metastatic switch, with G‐CSF also promoting extramedullary hematopoiesis (both models) and causing hepatosplenomegaly (4T1 model). Overall, we believe that the characterization of these preclinical models will foster the development of advanced therapeutic strategies for TNBC treatment, especially for the treatment of patients presenting both, primary tumors and metastatic spread. What's new? Triple‐negative breast cancer (TNBC), an aggressive, metastatic, and recurrent breast cancer subtype, currently lacks adequately described spontaneously metastatic preclinical models that faithfully reproduce the clinical scenario. Here, the authors provide an in‐depth comparative analysis of two preclinical spontaneously metastatic TNBC orthotopic models, MDA‐MB‐231‐Luc and 4T1. The results reveal a metastatic switch in both models with immune system activation and serum‐protein profile reconfiguration, which may support resistance to treatment and recurrence in TNBC. The authors also identify critical functional biomarkers and metabolomic signatures for metastatic progression that may facilitate the development of anticancer therapeutics. |
Databáze: | OpenAIRE |
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